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    <title>AI FinTech Index: financial services AI change log</title>
    <link>https://aifintechindex.com/changelog</link>
    <atom:link href="https://aifintechindex.com/feeds/changes.xml" rel="self" type="application/rss+xml" />
    <description>Material product changes at financial services AI vendors, tracked by AI FinTech Index. Every entry is dated and cited to a public source.</description>
    <language>en-us</language>
    <copyright>Free to reuse with a visible link to aifintechindex.com. Terms: https://aifintechindex.com/use-this-data</copyright>
    <lastBuildDate>Sat, 26 Sep 2026 12:00:00 GMT</lastBuildDate>
    <ttl>720</ttl>
    <image>
      <url>https://aifintechindex.com/icon-192.png</url>
      <title>AI FinTech Index: financial services AI change log</title>
      <link>https://aifintechindex.com/changelog</link>
    </image>
    <item>
      <title>AI Rudder published self evaluated τ-voice benchmark results for its voice agent: 83.89% pass@1 with the Standard customer simulator (237…</title>
      <link>https://aifintechindex.com/changelog/ai-rudder</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339957</guid>
      <pubDate>Sat, 26 Sep 2026 12:00:00 GMT</pubDate>
      <category>Performance evidence</category>
      <category>Customer &amp; Banking Agents</category>
      <category>Lending &amp; Banking Operations</category>
      <category>Credit Decisioning &amp; Underwriting</category>
      <description><![CDATA[<p>AI Rudder published self evaluated τ-voice benchmark results for its voice agent: 83.89% pass@1 with the Standard customer simulator (237 of 278 tasks) and 88.82% with the Custom simulator (250 of 278 tasks) across retail, airline and telecom, above the prior published best of 81.72% and 86.23%. The post discloses the evaluated stack (Deepgram nova-3 speech recognition, gemini-3.7-flash, ElevenLabs flash v2.5 speech, no training or fine tuning) and the runtime controls around the model, including an enabled check that blocks a repeated identical tool write within a turn.</p><p><strong>Why it matters:</strong> Lenders running voice agents on collections and payment calls need evidence the agent completes account actions once and correctly, and this gives a stated method and a named model stack to test against. The scores are self reported, exclude the τ-voice Banking domain, and were not on the official leaderboard when checked.</p><p>Impact: Medium. Verification: Partially Verified. Type: Performance evidence.</p><p>Evidence: <a href="https://airudder.com/beyond-the-model-building-a-harness-for-a-voice-agent/">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/ai-rudder">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
    </item>
    <item>
      <title>Socure's RiskOS platform is live as the identity verification, fraud prevention and risk decisioning layer on Arc, the Layer 1 blockchain…</title>
      <link>https://aifintechindex.com/changelog/socure</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab932e497930970b5fd0286</guid>
      <pubDate>Fri, 25 Sep 2026 12:00:00 GMT</pubDate>
      <category>Integration / interoperability</category>
      <category>AML, KYC &amp; Financial Crime</category>
      <category>Fraud Detection &amp; Transaction Risk</category>
      <description><![CDATA[<p>Socure's RiskOS platform is live as the identity verification, fraud prevention and risk decisioning layer on Arc, the Layer 1 blockchain built by Circle, at its public mainnet launch. RiskOS is integrated into the Arc Onramp flow that moves users from fiat into USDC inside any application built on the network.</p><p><strong>Why it matters:</strong> Payments, stablecoin and digital asset teams building on Arc get a KYC and fraud decision step already wired into the fiat to USDC onramp instead of integrating one themselves. It extends RiskOS coverage into on chain money movement for crypto and fintech programs.</p><p>Impact: Medium. Verification: Verified. Type: Integration / interoperability.</p><p>Evidence: <a href="https://www.businesswire.com/news/home/20260925707105/en/">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/socure">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
    </item>
    <item>
      <title>Ruleguard 4.112.0 makes Regulatory Change Update tasks a measure of their own in MI 2.</title>
      <link>https://aifintechindex.com/changelog/ruleguard</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab932e497930970b5fd0285</guid>
      <pubDate>Fri, 25 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Compliance, Surveillance &amp; RegTech</category>
      <category>Insurance AI</category>
      <description><![CDATA[<p>Ruleguard 4.112.0 makes Regulatory Change Update tasks a measure of their own in MI 2. Teams can now report on those tasks directly by task owner, alert list, parent update and whether reminders are on, and filter them to the logged in user for a 'my open tasks' dashboard. The same release reworks MI loading for speed and adds a Refresh button to the dashboard toolbar.</p><p><strong>Why it matters:</strong> Compliance teams at banks, insurers and asset managers can show who owns each regulatory change action, and whether it is overdue, straight from a dashboard instead of rebuilding that view from exported update records.</p><p>Impact: Low. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.ruleguard.com/release-notes/ruleguard-update-4.112.0">Vendor documentation</a></p><p>Source: <a href="https://aifintechindex.com/changelog/ruleguard">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>Terminal X published its first Terminal X Bench scorecard for new frontier models, grading Opus 5.5, Sol 6 and Luna 6 separately on…</title>
      <link>https://aifintechindex.com/changelog/terminal-x</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339956</guid>
      <pubDate>Fri, 25 Sep 2026 12:00:00 GMT</pubDate>
      <category>Safety / governance</category>
      <category>Capital Markets &amp; Research AI</category>
      <category>Wealth &amp; Advisory AI</category>
      <description><![CDATA[<p>Terminal X published its first Terminal X Bench scorecard for new frontier models, grading Opus 5.5, Sol 6 and Luna 6 separately on retrieval, processing and answer generation using medium thinking, the same test sets and the same grading prompts. Opus 5.5 led retrieval (80% average versus 56% for Sol 6 and 51% for Luna 6) and processing but was kept out of production because it refused routine finance prompts, and Sol 5.6 remains the answer generation model after its answers were preferred over Sol 6 in 68% of head to head comparisons.</p><p><strong>Why it matters:</strong> Investment firms get a stage level record of which foundation models the platform tests, which one runs answer generation, and why a new release was held back, which supports third party model change control in a model risk program. It indicates new model releases are gated on per stage testing before routing changes.</p><p>Impact: Medium. Verification: Verified. Type: Safety / governance.</p><p>Evidence: <a href="https://www.terminal-x.ai/blog/evaluating-opus-55-sol-6-and-luna-6-on-terminal-x-bench">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/terminal-x">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>Model ML added access to Blackroom AI virtual data rooms over MCP, so users can work with their Blackroom data room documents directly in…</title>
      <link>https://aifintechindex.com/changelog/model-ml</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339955</guid>
      <pubDate>Fri, 25 Sep 2026 12:00:00 GMT</pubDate>
      <category>Integration / interoperability</category>
      <category>Capital Markets &amp; Research AI</category>
      <category>Wealth &amp; Advisory AI</category>
      <description><![CDATA[<p>Model ML added access to Blackroom AI virtual data rooms over MCP, so users can work with their Blackroom data room documents directly in the Model ML platform without downloading files or searching a separate data room. The connector is available now to anyone with an active Blackroom data room.</p><p><strong>Why it matters:</strong> M&amp;A and private equity deal teams can run Model ML diligence and drafting work against live data room contents instead of local copies, which keeps deal documents inside the data room. It only helps firms whose deals run on Blackroom.</p><p>Impact: Medium. Verification: Verified. Type: Integration / interoperability.</p><p>Evidence: <a href="https://modelml.com/articles/model-ml-and-blackroom-partner-to-bring-ai-data-rooms-into-m-a-workflows">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/model-ml">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>Microblink: BlinkCard SDK releases published on GitHub on 25 Sep (iOS v3000.1.0, Android v3001.0.0, with Web 3001.0.0 on npm on 24 Sep) make redaction…</title>
      <link>https://aifintechindex.com/changelog/microblink</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339954</guid>
      <pubDate>Fri, 25 Sep 2026 12:00:00 GMT</pubDate>
      <category>Security / compliance</category>
      <category>AML, KYC &amp; Financial Crime</category>
      <category>Fraud Detection &amp; Transaction Risk</category>
      <category>Lending &amp; Banking Operations</category>
      <description><![CDATA[<p>BlinkCard SDK releases published on GitHub on 25 Sep (iOS v3000.1.0, Android v3001.0.0, with Web 3001.0.0 on npm on 24 Sep) make redaction of sensitive card data the default. The card number is now redacted in both the captured image and the returned result with only the first 4 and last 4 digits visible, and the CVV is fully redacted; IBAN and cardholder name are not redacted.</p><p><strong>Why it matters:</strong> Issuers, lenders and payments firms that capture cards in their apps now receive masked PAN and no CVV from scans unless they change the setting, which limits how much full card data lands in their systems and logs and bears directly on PCI DSS scope.</p><p>Impact: Medium. Verification: Verified. Type: Security / compliance.</p><p>Evidence: <a href="https://github.com/microblink/blinkcard-ios/releases/tag/v3000.1.0">Vendor documentation</a></p><p>Source: <a href="https://aifintechindex.com/changelog/microblink">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>Lendflow launched a hosted Model Context Protocol (MCP) server that connects a customer's Lendflow environment to AI assistants, available…</title>
      <link>https://aifintechindex.com/changelog/lendflow</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339953</guid>
      <pubDate>Fri, 25 Sep 2026 12:00:00 GMT</pubDate>
      <category>Integration / interoperability</category>
      <category>Credit Decisioning &amp; Underwriting</category>
      <category>Lending &amp; Banking Operations</category>
      <category>AML, KYC &amp; Financial Crime</category>
      <description><![CDATA[<p>Lendflow launched a hosted Model Context Protocol (MCP) server that connects a customer's Lendflow environment to AI assistants, available as a Lendflow plugin in ChatGPT and as a custom connector in Claude and Grok. Authenticated users can query applications, offers, funders and statuses in natural language and can also take write actions, including creating applications, adding notes and uploading documents, with the available actions set by the user's Lendflow permissions and configuration.</p><p><strong>Why it matters:</strong> Lenders, brands and brokers can work loan files from the AI assistant their staff already use without building or hosting their own MCP infrastructure. Because the connector can create applications and upload documents, risk and operations teams should review which roles get that write access through an assistant.</p><p>Impact: Medium. Verification: Verified. Type: Integration / interoperability.</p><p>Evidence: <a href="https://www.lendflow.com/post/lendflow-mcp-is-now-live-on-chatgpt-claude-and-grok">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/lendflow">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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      <title>ibl.ai: Admins can now define named, platform scoped network policies for agent sandbox VMs: a host and port allowlist sent to the sandbox each…</title>
      <link>https://aifintechindex.com/changelog/ibl-ai</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339952</guid>
      <pubDate>Fri, 25 Sep 2026 12:00:00 GMT</pubDate>
      <category>Security / compliance</category>
      <category>Compliance, Surveillance &amp; RegTech</category>
      <category>Capital Markets &amp; Research AI</category>
      <category>Wealth &amp; Advisory AI</category>
      <description><![CDATA[<p>Admins can now define named, platform scoped network policies for agent sandbox VMs: a host and port allowlist sent to the sandbox each session, plus a custom egress profile per agent, and a missing or cross tenant policy fails closed. Sandbox secrets can also be drawn from stored integration credentials at runtime so rotations propagate, and sandbox runtime is metered at a configurable default of $1 per 10 minutes.</p><p><strong>Why it matters:</strong> Agents that write and run code against financial data can be restricted to approved endpoints, which limits exfiltration risk and gives security teams a reviewable control before they allow autonomous runs.</p><p>Impact: Medium. Verification: Verified. Type: Security / compliance.</p><p>Evidence: <a href="https://ibl.ai/updates/platform-update-2026-09-25">Vendor documentation</a></p><p>Source: <a href="https://aifintechindex.com/changelog/ibl-ai">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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      <title>ibl.ai extended its PII and PHI filtering to in chat file uploads, covering text, Office documents, images (OCR plus pixel redaction) and…</title>
      <link>https://aifintechindex.com/changelog/ibl-ai</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339951</guid>
      <pubDate>Fri, 25 Sep 2026 12:00:00 GMT</pubDate>
      <category>Security / compliance</category>
      <category>Compliance, Surveillance &amp; RegTech</category>
      <category>Capital Markets &amp; Research AI</category>
      <category>Wealth &amp; Advisory AI</category>
      <description><![CDATA[<p>ibl.ai extended its PII and PHI filtering to in chat file uploads, covering text, Office documents, images (OCR plus pixel redaction) and PDFs (rasterized, redacted and rebuilt) on every path where a file reaches an LLM, with per agent block, redact or allow settings. Privacy mode now also keeps conversation text out of run tracking, the moderation log, application logs, Sentry events and Langfuse traces. A new read only privacy flags API records every PII or PHI detection across uploads, prompts, responses and memory retrieval, storing only the entity type, never the raw value.</p><p><strong>Why it matters:</strong> Bank and insurer staff routinely upload statements and applications that carry SSNs and account data, so redaction before any model sees the file, and keeping chat text out of third party observability tools, narrows GLBA exposure.</p><p>Impact: High. Verification: Verified. Type: Security / compliance.</p><p>Evidence: <a href="https://ibl.ai/updates/platform-update-2026-09-25">Vendor documentation</a></p><p>Source: <a href="https://aifintechindex.com/changelog/ibl-ai">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>CipherOwl's SR3 CLI release 2026.4.0 regroups commands under screen, reason, research, report, case, auth, config and agent, and new agent…</title>
      <link>https://aifintechindex.com/changelog/cipherowl</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339950</guid>
      <pubDate>Fri, 25 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>AML, KYC &amp; Financial Crime</category>
      <category>Fraud Detection &amp; Transaction Risk</category>
      <category>Compliance, Surveillance &amp; RegTech</category>
      <description><![CDATA[<p>CipherOwl's SR3 CLI release 2026.4.0 regroups commands under screen, reason, research, report, case, auth, config and agent, and new agent commands describe each action's typed inputs, outputs, effects and retry rules so an AI agent can call them safely. Batch screening results now keep probability, confidence, evidence, behavior decisions and model metadata when the service supplies them, and partial or failed outcomes are reported explicitly with a nonzero exit status.</p><p><strong>Why it matters:</strong> Compliance teams screening crypto addresses from scripts or agents get results that carry the model's confidence and evidence, which supports review and model risk documentation. Partial results can no longer pass silently as clean ones.</p><p>Impact: Medium. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://github.com/cipherowl-ai/cipherowl-sr3/releases/tag/2026.4.0">Vendor documentation</a></p><p>Source: <a href="https://aifintechindex.com/changelog/cipherowl">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>Bureau introduced Adaptive Authentication, which rescores risk continuously through a customer session using identity graph, behavioral…</title>
      <link>https://aifintechindex.com/changelog/bureau</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece9733994f</guid>
      <pubDate>Fri, 25 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>AML, KYC &amp; Financial Crime</category>
      <category>Fraud Detection &amp; Transaction Risk</category>
      <category>Credit Decisioning &amp; Underwriting</category>
      <description><![CDATA[<p>Bureau introduced Adaptive Authentication, which rescores risk continuously through a customer session using identity graph, behavioral, device, and location and network signals instead of deciding once at login. When risk rises at moments such as beneficiary addition or a high value transfer, the platform can trigger step up authentication (MFA, face or biometric checks) or block the session, and session signals feed Bureau's Graph Identity Network.</p><p><strong>Why it matters:</strong> Banks fighting account takeover and authorized push payment fraud get in session step up decisions from the same engine used for onboarding. The pilot figures (50 to 60% more high risk fraud detected, 5 to 6% fewer false positives, step up on 1 in 70 sessions) come from unnamed tier 1 banks with no stated method, so ask for the evaluation design.</p><p>Impact: Medium. Verification: Partially Verified. Type: Product / capability.</p><p>Evidence: <a href="https://bureau.id/resources/blog/adaptive-authentication-risk-decisioning-that-responds-to-a-session%E2%80%99s-changing-risk">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/bureau">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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      <title>S&amp;P Global Market Intelligence: Kensho released version 8.0.0 of kfinance, the Python library and proxy MCP server for the Kensho LLM ready API.</title>
      <link>https://aifintechindex.com/changelog/sp-global-market-intelligence</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab932e497930970b5fd0284</guid>
      <pubDate>Thu, 24 Sep 2026 12:00:00 GMT</pubDate>
      <category>Security / compliance</category>
      <category>Capital Markets &amp; Research AI</category>
      <category>Credit Decisioning &amp; Underwriting</category>
      <category>Compliance, Surveillance &amp; RegTech</category>
      <category>Insurance AI</category>
      <description><![CDATA[<p>Kensho released version 8.0.0 of kfinance, the Python library and proxy MCP server for the Kensho LLM ready API. The OAuth refresh token is now sent to /oauth2/refresh in a POST body instead of the URL query string, so it no longer appears in access logs or request logs, and the library replaces the requests and httpx clients with httpx2, which changes the exception types raised for HTTP and network errors.</p><p><strong>Why it matters:</strong> Firms pulling S&amp;P Global data into AI workflows through kfinance or the proxy MCP server stop exposing long lived credentials in logs by upgrading. It is a breaking change, so engineering teams must update error handling and make any custom AUTH_REFRESH_URL accept POST before upgrading.</p><p>Impact: Medium. Verification: Partially Verified. Type: Security / compliance.</p><p>Evidence: <a href="https://pypi.org/project/kensho-kfinance/8.0.0/">Vendor documentation</a></p><p>Source: <a href="https://aifintechindex.com/changelog/sp-global-market-intelligence">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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      <title>Sixfold launched Distribution Intelligence, which scores every broker on submission volume, quality, appetite fit and hit ratio using data…</title>
      <link>https://aifintechindex.com/changelog/sixfold</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab932e497930970b5fd0283</guid>
      <pubDate>Thu, 24 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Insurance AI</category>
      <description><![CDATA[<p>Sixfold launched Distribution Intelligence, which scores every broker on submission volume, quality, appetite fit and hit ratio using data from submissions already run through Sixfold. Underwriting leaders set targets such as submission completeness, hit ratio, segment growth or renewal rates, or accept targets Sixfold recommends, and the system then runs or recommends initiatives (quote more in appetite submissions from a broker, refer a case, reprioritize the queue) that flow into the AI Underwriter with a stated rationale. It is the first capability in a new Portfolio Intelligence Suite.</p><p><strong>Why it matters:</strong> Carriers and MGAs get broker level performance steering inside the underwriting workflow rather than in a separate BI tool, and the agent now reorders and recommends work against portfolio targets, so buyers should review which initiatives run automatically versus only as recommendations.</p><p>Impact: Medium. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.sixfold.ai/content/post/introducing-distribution-intelligence">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/sixfold">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>Ripjar upgraded the adverse media risk classifiers in its ULTRA engine, which read each news article to decide whether it relates to a…</title>
      <link>https://aifintechindex.com/changelog/ripjar</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab932e497930970b5fd0282</guid>
      <pubDate>Thu, 24 Sep 2026 12:00:00 GMT</pubDate>
      <category>Model / architecture</category>
      <category>AML, KYC &amp; Financial Crime</category>
      <category>Compliance, Surveillance &amp; RegTech</category>
      <description><![CDATA[<p>Ripjar upgraded the adverse media risk classifiers in its ULTRA engine, which read each news article to decide whether it relates to a specific risk and which person is involved, moving them to a new generation of machine learning model. The same update improves entity matching so screening can tell apart parent companies, subsidiaries and similarly named group entities, and handles more complex naming conventions, including Arabic names. Both feed Screening Assistant, the agentic triage feature that closes low risk alerts on its own.</p><p><strong>Why it matters:</strong> A model change in the classifiers that decide adverse media risk is something model risk teams need to log and retest, and it changes which alerts the AI closes without an analyst. Ripjar named no model and published no accuracy figures, so buyers should ask for validation evidence on their own populations.</p><p>Impact: Medium. Verification: Verified. Type: Model / architecture.</p><p>Evidence: <a href="https://ripjar.com/news/ripjar-ramps-up-ai-in-customer-screening-to-disrupt-global-economy-of-crime/">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/ripjar">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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      <title>Vise and Bitwise rolled out Bitwise's diversified crypto model portfolios to the wealth firms and 135,000+ accounts on the Vise platform…</title>
      <link>https://aifintechindex.com/changelog/vise</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece9733994e</guid>
      <pubDate>Thu, 24 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Wealth &amp; Advisory AI</category>
      <category>Capital Markets &amp; Research AI</category>
      <description><![CDATA[<p>Vise and Bitwise rolled out Bitwise's diversified crypto model portfolios to the wealth firms and 135,000+ accounts on the Vise platform, with Core models for broad crypto exposure and Thematic models for specific positioning such as risk managed exposure or assets beyond bitcoin. On Vise the models sit inside the same account as the client's equities, fixed income and alternatives, sized to the household risk profile, rebalanced on the same schedule and covered by the same tax management.</p><p><strong>Why it matters:</strong> Advisors can offer a researched crypto allocation without running it as a separate book, so drift control and tax loss harvesting apply to crypto the same way they apply to the rest of the portfolio. This extends the 2025 bitcoin access to a menu of third party crypto models.</p><p>Impact: Medium. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.prnewswire.com/news-releases/vise-partners-with-bitwise-to-introduce-crypto-model-portfolios-for-advisors-302888480.html">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/vise">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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      <title>Vertafore introduced two Velocity AI agents for MGA underwriting: the Change Request Agent, which summarizes what changed across renewal…</title>
      <link>https://aifintechindex.com/changelog/vertafore</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece9733994d</guid>
      <pubDate>Thu, 24 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Insurance AI</category>
      <category>Compliance, Surveillance &amp; RegTech</category>
      <description><![CDATA[<p>Vertafore introduced two Velocity AI agents for MGA underwriting: the Change Request Agent, which summarizes what changed across renewal and endorsement applications and requires underwriter approval before the summary is saved to the application record, and the Configuration Agent, which turns natural language admin requests into Surefyre program configuration that admins review, preview and test before saving. Both are listed as early adopter on the Velocity AI platform page, with general availability expected this fall.</p><p><strong>Why it matters:</strong> MGAs and carriers underwriting through Surefyre get AI inside the underwriting record with an explicit human approval gate before anything is written. Buyers can hold Vertafore to that review before save control when assessing automated underwriting support.</p><p>Impact: Medium. Verification: Partially Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.vertafore.com/resources/press-releases/vertafore-unveils-digital-underwriter-vision-help-mgas-increase">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/vertafore">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
    </item>
    <item>
      <title>SymphonyAI introduced Symphony Risk Intelligence (SRI), an agent native financial crime compliance platform built around a System of…</title>
      <link>https://aifintechindex.com/changelog/symphonyai</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece9733994c</guid>
      <pubDate>Thu, 24 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>AML, KYC &amp; Financial Crime</category>
      <category>Compliance, Surveillance &amp; RegTech</category>
      <category>Fraud Detection &amp; Transaction Risk</category>
      <description><![CDATA[<p>SymphonyAI introduced Symphony Risk Intelligence (SRI), an agent native financial crime compliance platform built around a System of Intelligence that tracks changes in regulations, threats, internal policy and customer risk and directs agents to run detection, triage, investigation and reporting in response. Governance sets boundaries on what each agent may do, human oversight configurable from semi to fully autonomous, and a full audit trail, applied on the same terms to agents an institution builds itself. SRI layers over existing transaction monitoring and screening systems of record rather than replacing them.</p><p><strong>Why it matters:</strong> Compliance teams can set how far agents act on alerts without an investigator and hold their own in house agents to the same audit trail, which bears directly on model risk review and examiner questions. The SRI acronym previously stood for Sensa Risk Intelligence, so buyers should ask which parts are new and generally available versus renamed.</p><p>Impact: Medium. Verification: Partially Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.symphonyai.com/news/introducing-symphony-risk-intelligence-sri">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/symphonyai">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
    </item>
    <item>
      <title>Streetbeat shipped iOS app version 2026.9.0, which the release note calls a rebuild of the whole app.</title>
      <link>https://aifintechindex.com/changelog/streetbeat</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece9733994b</guid>
      <pubDate>Thu, 24 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Wealth &amp; Advisory AI</category>
      <category>Capital Markets &amp; Research AI</category>
      <category>Customer &amp; Banking Agents</category>
      <description><![CDATA[<p>Streetbeat shipped iOS app version 2026.9.0, which the release note calls a rebuild of the whole app. It adds The Beat, two AI written notes a day tailored to the user's holdings (an Opening Beat before the bell and a Closing Beat after), per stock, ETF and portfolio Discuss rooms that flag when a poster holds the asset, and an exposure view that counts holdings held through ETFs and portfolios. It also adds a portfolio library that can be invested in a Streetbeat account or a connected Robinhood account, configurable widgets, and support for seven languages.</p><p><strong>Why it matters:</strong> Streetbeat says the consumer app runs on the same AI foundation it licenses to institutions as a white label AI Suite for Retail, so this release is a working sample of the holdings aware generated content and look through exposure analytics a bank or wealth manager would deploy under its own brand.</p><p>Impact: Low. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://apps.apple.com/us/app/streetbeat-ai-investing/id1578332443">Vendor documentation</a></p><p>Source: <a href="https://aifintechindex.com/changelog/streetbeat">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
    </item>
    <item>
      <title>Oz Forensics: Oz API 6.7.0 deprecates webhook delivery of analysis results through the resolution_endpoint folder field and states the mechanism will be…</title>
      <link>https://aifintechindex.com/changelog/oz-forensics</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece9733994a</guid>
      <pubDate>Thu, 24 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product sunset</category>
      <category>Fraud Detection &amp; Transaction Risk</category>
      <category>AML, KYC &amp; Financial Crime</category>
      <category>Customer &amp; Banking Agents</category>
      <description><![CDATA[<p>Oz API 6.7.0 deprecates webhook delivery of analysis results through the resolution_endpoint folder field and states the mechanism will be removed in API 7.0.0. The same release fixes a slowdown on GET /api/folders/ when resolution status and analysis type filters are combined with with_analyses=true.</p><p><strong>Why it matters:</strong> Banks and fintechs that push liveness and face match verdicts into onboarding or KYC systems by webhook need to move to another result retrieval method before upgrading to 7.0.0.</p><p>Impact: Medium. Verification: Verified. Type: Product sunset.</p><p>Evidence: <a href="https://doc.ozforensics.com/oz-knowledge/guides/developer-guide/api/oz-api/changelog">Vendor documentation</a></p><p>Source: <a href="https://aifintechindex.com/changelog/oz-forensics">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
    </item>
    <item>
      <title>Model ML added a Daloopa connector over MCP, so users with an active Daloopa license can pull Daloopa's standardized fundamental data on…</title>
      <link>https://aifintechindex.com/changelog/model-ml</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339949</guid>
      <pubDate>Thu, 24 Sep 2026 12:00:00 GMT</pubDate>
      <category>Integration / interoperability</category>
      <category>Capital Markets &amp; Research AI</category>
      <category>Wealth &amp; Advisory AI</category>
      <description><![CDATA[<p>Model ML added a Daloopa connector over MCP, so users with an active Daloopa license can pull Daloopa's standardized fundamental data on 6,000+ companies directly into the Model ML platform. Each Daloopa data point links back to the SEC filing, press release or investor presentation it came from, so figures used in models, pitch decks and memos can be checked against the original document.</p><p><strong>Why it matters:</strong> Banks and investment firms that already license Daloopa can use it inside Model ML agent workflows without exporting data, and source linked figures make AI built deliverables easier to review. Access depends on the firm holding its own Daloopa license.</p><p>Impact: Medium. Verification: Verified. Type: Integration / interoperability.</p><p>Evidence: <a href="https://modelml.com/articles/model-ml-partners-with-daloopa-to-bring-audit-linked-financial-data-into-the-platform">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/model-ml">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>LexisNexis Risk Solutions integrated its Drive Metrics telematics scoring model into the IMS EdgeSDK, a smartphone SDK that U.S. auto…</title>
      <link>https://aifintechindex.com/changelog/lexisnexis-risk-solutions</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339948</guid>
      <pubDate>Thu, 24 Sep 2026 12:00:00 GMT</pubDate>
      <category>Integration / interoperability</category>
      <category>AML, KYC &amp; Financial Crime</category>
      <category>Fraud Detection &amp; Transaction Risk</category>
      <category>Compliance, Surveillance &amp; RegTech</category>
      <description><![CDATA[<p>LexisNexis Risk Solutions integrated its Drive Metrics telematics scoring model into the IMS EdgeSDK, a smartphone SDK that U.S. auto insurers can embed in their own app or use through an IMS white label app. Driving data is scored on the device, producing Drive Metrics scores and attributes consistent with LexisNexis Telematics Solutions, without sending trip data to cloud processing.</p><p><strong>Why it matters:</strong> Insurers without a usage based insurance program get a lower cost route to telematics underwriting, with the vendor claiming 50% to 80% lower UBI operating cost from removing cloud processing and storage fees. On device scoring also narrows how much consumer driving data the insurer has to collect and retain.</p><p>Impact: Medium. Verification: Verified. Type: Integration / interoperability.</p><p>Evidence: <a href="https://risk.lexisnexis.com/about-us/press-room/press-release/20260924-ims-edgesdk">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/lexisnexis-risk-solutions">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>FIS released the latest version of the FIS Retirement Platform (FRP), rebuilt on a cloud native microservices architecture that analyzes…</title>
      <link>https://aifintechindex.com/changelog/fis</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339947</guid>
      <pubDate>Thu, 24 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Lending &amp; Banking Operations</category>
      <category>AML, KYC &amp; Financial Crime</category>
      <category>Customer &amp; Banking Agents</category>
      <description><![CDATA[<p>FIS released the latest version of the FIS Retirement Platform (FRP), rebuilt on a cloud native microservices architecture that analyzes plan data in real time. FIS states it is available now to retirement plan providers and third party administrators of all sizes, and positions it to support SECURE 2.0 plan designs such as mandatory automatic enrollment. Participant guidance, back office automation and plan health analytics are listed as roadmap items, not shipped features.</p><p><strong>Why it matters:</strong> Recordkeepers and TPAs weighing a move off legacy hosted recordkeeping now have a generally available cloud native option from FIS. AI capabilities remain roadmap only, so buyers should not count them in an evaluation yet.</p><p>Impact: Medium. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.investor.fisglobal.com/news-releases/news-release-details/fis-moves-retirement-recordkeeping-real-time-cloud-native">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/fis">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>FinTech Studios announced general availability of its MCP connector, now listed in the official Claude and ChatGPT connector directories…</title>
      <link>https://aifintechindex.com/changelog/fintech-studios</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339946</guid>
      <pubDate>Thu, 24 Sep 2026 12:00:00 GMT</pubDate>
      <category>Integration / interoperability</category>
      <category>Capital Markets &amp; Research AI</category>
      <category>Compliance, Surveillance &amp; RegTech</category>
      <category>Wealth &amp; Advisory AI</category>
      <description><![CDATA[<p>FinTech Studios announced general availability of its MCP connector, now listed in the official Claude and ChatGPT connector directories and addable to Claude for Financial Advisors. The hosted server at mcp.fintechstudios.com uses OAuth 2.1 sign in and exposes read only tools for cited news, market and regulatory search, trending entities, AI summaries, daily briefs, collections and insight channels, metered against FTS Studio credits with a free tier. The underlying npm package and MCP Registry entry were first published on 15 Sep 2026, so the in window change is the directory listing and GA.</p><p><strong>Why it matters:</strong> Compliance, research and advisory teams can pull cited regulatory and market intelligence straight into the assistant they already use without handing an API key to the AI provider. Because the tools are read only, the connector cannot create, change or send anything in the user's account.</p><p>Impact: Medium. Verification: Verified. Type: Integration / interoperability.</p><p>Evidence: <a href="https://www.fintechstudios.com/press/mcp-connector-claude-chatgpt">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/fintech-studios">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>Feedzai launched Farol, an AI agent embedded in its RiskOps Studio, with four launch skills: Risk Strategy (analyzes rule sets, flags…</title>
      <link>https://aifintechindex.com/changelog/feedzai</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339945</guid>
      <pubDate>Thu, 24 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Fraud Detection &amp; Transaction Risk</category>
      <category>AML, KYC &amp; Financial Crime</category>
      <category>Compliance, Surveillance &amp; RegTech</category>
      <description><![CDATA[<p>Feedzai launched Farol, an AI agent embedded in its RiskOps Studio, with four launch skills: Risk Strategy (analyzes rule sets, flags rules that generate noise without catching fraud and recommends thresholds), Investigations (retrieves and summarizes alert data), Knowledge (answers product questions from documentation in the interface) and SAR Drafting. Feedzai states Farol runs inside each institution's own environment so the data it surfaces stays in the customer's estate, and that agent outputs come with traceable reasoning for analyst review.</p><p><strong>Why it matters:</strong> Fraud and AML teams on Feedzai get agent drafted SARs and rule threshold recommendations inside the existing case workflow, so BSA and model risk owners will need to decide how agent outputs are reviewed, logged and approved. The 20% faster alert handling and 12x faster SAR drafting figures carry no stated method, so buyers should ask for the measurement basis.</p><p>Impact: High. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.feedzai.com/pressrelease/as-banks-pivot-to-agentic-ai-feedzai-unveils-farol-to-transform-fraud-analysis-and-cut-investigation-times/">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/feedzai">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>FE fundinfo connected Nexus for Financial Advisers to the intelliflo adviser CRM.</title>
      <link>https://aifintechindex.com/changelog/fe-fundinfo</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339944</guid>
      <pubDate>Thu, 24 Sep 2026 12:00:00 GMT</pubDate>
      <category>Integration / interoperability</category>
      <category>Wealth &amp; Advisory AI</category>
      <category>Compliance, Surveillance &amp; RegTech</category>
      <category>Capital Markets &amp; Research AI</category>
      <description><![CDATA[<p>FE fundinfo connected Nexus for Financial Advisers to the intelliflo adviser CRM. Through the Nexus Assistant meeting workflow, advisers can now pull intelliflo client data into Nexus and push information captured in Nexus workflows back into intelliflo. FE fundinfo says further CRM integrations will follow by the end of 2026.</p><p><strong>Why it matters:</strong> Advice firms that run intelliflo can use the Nexus AI meeting and planning workflow without rekeying client data, and the CRM stays the client record of truth. Earlier Nexus releases only described sending meeting outputs to a connected CRM, so the pull direction is the new part.</p><p>Impact: Medium. Verification: Verified. Type: Integration / interoperability.</p><p>Evidence: <a href="https://www.fefundinfo.com/insights/fe-fundinfo-brings-the-full-advice-journey-into-one-connected-experience-with-nexus-for-financial-advisers">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/fe-fundinfo">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>Elysian launched two AI claims products for insurers.</title>
      <link>https://aifintechindex.com/changelog/elysian</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339943</guid>
      <pubDate>Thu, 24 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Insurance AI</category>
      <description><![CDATA[<p>Elysian launched two AI claims products for insurers. Ely Audit reviews open and closed claim files across a full book instead of a roughly 2% sample, evaluating handling quality, adherence to standards and external vendor performance, and flags portfolio wide patterns. Ely Adjust reviews all open claims daily, risk ranks them and recommends next steps to adjusters, with explainable guidance and an optional supervisor review layer; both connect to the carrier's existing claim system and can be bought separately or bundled.</p><p><strong>Why it matters:</strong> Carriers and TPAs can buy Elysian's claims AI as standalone software rather than only through its TPA service. Ely Adjust only recommends, and the adjuster makes every decision, so it fits claims teams that need human sign off on each file.</p><p>Impact: High. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.elysian.is/updates/news/elysian-launches-ely-audit-and-ely-adjust-press-release">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/elysian">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>Elliptic launched Pulse, an AI tool that lets a frontline law enforcement or government officer enter a wallet address or transaction hash…</title>
      <link>https://aifintechindex.com/changelog/elliptic</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339942</guid>
      <pubDate>Thu, 24 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>AML, KYC &amp; Financial Crime</category>
      <category>Compliance, Surveillance &amp; RegTech</category>
      <category>Fraud Detection &amp; Transaction Risk</category>
      <description><![CDATA[<p>Elliptic launched Pulse, an AI tool that lets a frontline law enforcement or government officer enter a wallet address or transaction hash and get a plain language risk summary showing the triggered rules, detected entities, exposure and flow of funds. One click escalates the full analysis, reasoning and field notes, tagged with a case number, into Elliptic Lens for screening and Investigator for tracing. Pulse is available now to law enforcement and government agencies.</p><p><strong>Why it matters:</strong> It shows Elliptic extending its attribution data into agentic, explainable summaries where the AI informs but does not make the decision, the same oversight pattern financial institutions should expect in its compliance agents. Bank buyers get no new feature here, but case handoffs from police using Pulse arrive already structured for Lens and Investigator.</p><p>Impact: Low. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.elliptic.co/newsroom/elliptic-launches-pulse/">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/elliptic">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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      <title>Daloopa's MCP integration now delivers its verified, source linked fundamental data inside Model ML, an AI platform that drafts pitch…</title>
      <link>https://aifintechindex.com/changelog/daloopa</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339941</guid>
      <pubDate>Thu, 24 Sep 2026 12:00:00 GMT</pubDate>
      <category>Integration / interoperability</category>
      <category>Capital Markets &amp; Research AI</category>
      <category>Wealth &amp; Advisory AI</category>
      <description><![CDATA[<p>Daloopa's MCP integration now delivers its verified, source linked fundamental data inside Model ML, an AI platform that drafts pitch decks, due diligence reports and investment memos for financial and professional services firms. Model ML users can run comps, benchmark peers and monitor portfolio positions as new filings land, drawing on Daloopa coverage of 6,000+ companies.</p><p><strong>Why it matters:</strong> Bank, asset manager and advisory teams drafting deliverables in Model ML can tie AI generated figures back to the original filing, which cuts the checking work on analyst output. It adds another third party AI workspace where an existing Daloopa subscription works without custom integration.</p><p>Impact: Medium. Verification: Partially Verified. Type: Integration / interoperability.</p><p>Evidence: <a href="https://daloopa.com/blog/product-updates/announcing-daloopa-partnership-with-model-ml">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/daloopa">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>Baselayer replaced GET /autocomplete with a session based Autocomplete API: the backend mints a short lived session with POST…</title>
      <link>https://aifintechindex.com/changelog/baselayer</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339940</guid>
      <pubDate>Thu, 24 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>AML, KYC &amp; Financial Crime</category>
      <category>Fraud Detection &amp; Transaction Risk</category>
      <category>Credit Decisioning &amp; Underwriting</category>
      <description><![CDATA[<p>Baselayer replaced GET /autocomplete with a session based Autocomplete API: the backend mints a short lived session with POST /autocomplete/sessions and the browser calls GET /autocomplete/businesses on each keystroke, so the API key never reaches the client. Each suggestion now describes a canonical business with its officers, registered agents, addresses and liens, and carries a token valid for 15 minutes that is redeemed as business_token on POST /searches. A JavaScript/TypeScript SDK with a ready made typeahead component handles session refresh and retries, and the old route was set to stop working on 25 September.</p><p><strong>Why it matters:</strong> Onboarding flows that use business typeahead had one day of notice to migrate, and the new token ties the KYB search to exactly the business the applicant picked, which cuts mismatched entity searches. Keeping the API key server side also removes a credential exposure risk in client side integrations.</p><p>Impact: Medium. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://docs.baselayer.com/changelog/get-autocomplete-replaced-by-get-autocomplete-businesses">Vendor documentation</a></p><p>Source: <a href="https://aifintechindex.com/changelog/baselayer">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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      <title>SS&amp;C Technologies: SS&amp;C added an AI portfolio management assistant to Advent Genesis that lets investment teams find opportunities, pull portfolio insights…</title>
      <link>https://aifintechindex.com/changelog/ssc-technologies</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab932e497930970b5fd0281</guid>
      <pubDate>Wed, 23 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Capital Markets &amp; Research AI</category>
      <category>Lending &amp; Banking Operations</category>
      <category>Wealth &amp; Advisory AI</category>
      <category>Insurance AI</category>
      <description><![CDATA[<p>SS&amp;C added an AI portfolio management assistant to Advent Genesis that lets investment teams find opportunities, pull portfolio insights and start workflows in plain language, and that can review positions, rebalance portfolios and harvest tax lots. SS&amp;C executives have described it as in beta, with production targeted within a few months. The same release introduces ConnectIQ, an AI advisor engagement platform for the retirement market that combines participant data from several sources and flags outreach opportunities with predictive analytics.</p><p><strong>Why it matters:</strong> An assistant that can rebalance and harvest tax lots puts action taking AI inside the portfolio workflow, so buyers should confirm what human approval applies before trades are generated. SS&amp;C says the new tools run on its AI Gateway governance platform, which is the place to ask how participant data is governed.</p><p>Impact: Medium. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://investor.ssctech.com/news-releases/news-release-details/ssc-technologies-unveils-portfolio-ai-enabled-enhancements">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/ssc-technologies">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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      <title>Solidus Labs says HALO is now running on GTN's global order book, providing trade surveillance and transaction monitoring across equities…</title>
      <link>https://aifintechindex.com/changelog/solidus-labs</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab932e497930970b5fd0280</guid>
      <pubDate>Wed, 23 Sep 2026 12:00:00 GMT</pubDate>
      <category>Integration / interoperability</category>
      <category>Compliance, Surveillance &amp; RegTech</category>
      <category>crypto-and-digital-assets</category>
      <category>AML, KYC &amp; Financial Crime</category>
      <description><![CDATA[<p>Solidus Labs says HALO is now running on GTN's global order book, providing trade surveillance and transaction monitoring across equities, fixed income, derivatives, FX and digital assets. It also says GTN's 500+ institutional clients can get their own dedicated HALO tenants through GTN's brokerage infrastructure, so they do not have to buy and integrate a separate surveillance system.</p><p><strong>Why it matters:</strong> Brokers, banks and asset managers that already run on GTN can get surveillance through infrastructure they already use, which may shorten onboarding. Solidus has not published documentation for the tenant setup, so buyers should confirm data separation and who operates alert review (GTN's team or their own).</p><p>Impact: Medium. Verification: Partially Verified. Type: Integration / interoperability.</p><p>Evidence: <a href="https://www.soliduslabs.com/press-release/gtn-and-solidus-labs-surveillance-partnership">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/solidus-labs">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
    </item>
    <item>
      <title>Socotra released Configuration Assistant, an AI agent inside Configuration Studio that creates, updates and visualizes insurance product…</title>
      <link>https://aifintechindex.com/changelog/socotra</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab932e497930970b5fd027f</guid>
      <pubDate>Wed, 23 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Insurance AI</category>
      <description><![CDATA[<p>Socotra released Configuration Assistant, an AI agent inside Configuration Studio that creates, updates and visualizes insurance product configurations from natural language prompts, up to 3 uploaded requirement files (such as a filing) or an existing tenant configuration. It proposes a plan the user must confirm, shows the product as canvas and explorer views with plain language plugin code summaries, retries failed validation up to 5 times, and deploys to a new tenant or an existing test tenant.</p><p><strong>Why it matters:</strong> Carriers can now build and test products on the core themselves instead of relying on the Agentic Configuration implementation service Socotra has offered since 2025. Plan confirmation and the test tenant only deploy limit keep a person in the loop before anything reaches production, and the feature is off by default until a Socotra representative enables it.</p><p>Impact: High. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://docs.socotra.com/other-resources/release-notes">Vendor documentation</a></p><p>Source: <a href="https://aifintechindex.com/changelog/socotra">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
    </item>
    <item>
      <title>Vertafore released four new Velocity AI agents to early adopters: Document Intelligence Agent in ImageRight, Coach Agent inside AMS360 and…</title>
      <link>https://aifintechindex.com/changelog/vertafore</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece9733993f</guid>
      <pubDate>Wed, 23 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Insurance AI</category>
      <category>Compliance, Surveillance &amp; RegTech</category>
      <description><![CDATA[<p>Vertafore released four new Velocity AI agents to early adopters: Document Intelligence Agent in ImageRight, Coach Agent inside AMS360 and Sagitta, Policy Intake Agent that extracts commercial policy data from source documents, writes it to the agency management system and creates an audit ready activity record, and Policy Check Agent that compares policy documents against AMS data and recommends corrections for user approval. General availability is scheduled between September and early fall 2026.</p><p><strong>Why it matters:</strong> Insurance agencies get AI that writes policy data into their system of record, so buyers should check which steps run without review (intake) and which require approval (policy corrections). Time savings are vendor early adopter figures with no stated method.</p><p>Impact: Medium. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.vertafore.com/resources/press-releases/vertafore-unveils-agentic-agency-vision-accelerate-distribution-velocity">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/vertafore">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>Pegasystems: Pega released the 26.2 Association Compliance GA package for Smart Dispute for Issuers and Smart Dispute for Acquirers (versions '23…</title>
      <link>https://aifintechindex.com/changelog/pegasystems</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece9733993e</guid>
      <pubDate>Wed, 23 Sep 2026 12:00:00 GMT</pubDate>
      <category>Integration / interoperability</category>
      <category>AML, KYC &amp; Financial Crime</category>
      <category>Compliance, Surveillance &amp; RegTech</category>
      <category>Lending &amp; Banking Operations</category>
      <description><![CDATA[<p>Pega released the 26.2 Association Compliance GA package for Smart Dispute for Issuers and Smart Dispute for Acquirers (versions '23 through 26.1) and for Smart Dispute Agentic Automation (25.1 and 26.1). It updates dispute questionnaires, chargeback qualification logic and Visa Resolve Online transaction inquiry elements to match Visa, Mastercard and American Express rule changes published April to August 2026, including removal of Amex ZIP Code Verification eligibility checks and India specific MCC exclusions. It also adds a new response parameter to the Mastercard Retrieve claim details and Retrieve clearing details API calls.</p><p><strong>Why it matters:</strong> Card issuers and acquirers carry chargeback losses when dispute logic lags network mandates, so a vendor shipped rule package that back covers five releases cuts in house rule maintenance before scheme effective dates.</p><p>Impact: Medium. Verification: Verified. Type: Integration / interoperability.</p><p>Evidence: <a href="https://docs.pega.com/bundle/sd-compliance-release-notes/page/smart-dispute-for-issuers/comp-release-notes/26-2/sd-26-2-regulatory-compliance-updates.html">Vendor documentation</a></p><p>Source: <a href="https://aifintechindex.com/changelog/pegasystems">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
    </item>
    <item>
      <title>Pave added eleven consumer cashflow attributes that break gambling activity out by kind, covering sweepstakes casinos, sports betting…</title>
      <link>https://aifintechindex.com/changelog/pave</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece9733993d</guid>
      <pubDate>Wed, 23 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Credit Decisioning &amp; Underwriting</category>
      <category>Lending &amp; Banking Operations</category>
      <description><![CDATA[<p>Pave added eleven consumer cashflow attributes that break gambling activity out by kind, covering sweepstakes casinos, sports betting, lotteries and prediction markets, instead of reporting a single gambling total. The new fields include sweepstakes casino payment amounts, counts, recency, share, income ratio and monthly trend, plus each subtype's ratio to total gambling and a count of gambling subtypes used.</p><p><strong>Why it matters:</strong> Lenders can weigh sweepstakes casino and prediction market spend separately from lottery spend in their own risk and affordability models, rather than relying on one blended gambling figure.</p><p>Impact: Medium. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://docs.pavefi.com/guides/changelog#september-23-2026">Vendor documentation</a></p><p>Source: <a href="https://aifintechindex.com/changelog/pave">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
    </item>
    <item>
      <title>Murex announced that its MX.3 capital markets platform has achieved certification on Google Cloud, so institutions can now deploy MX.3 in…</title>
      <link>https://aifintechindex.com/changelog/murex</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece9733993c</guid>
      <pubDate>Wed, 23 Sep 2026 12:00:00 GMT</pubDate>
      <category>Integration / interoperability</category>
      <category>Capital Markets &amp; Research AI</category>
      <category>Lending &amp; Banking Operations</category>
      <category>crypto-and-digital-assets</category>
      <description><![CDATA[<p>Murex announced that its MX.3 capital markets platform has achieved certification on Google Cloud, so institutions can now deploy MX.3 in Google Cloud environments. Until now Murex's cloud page listed only AWS and Microsoft Azure as certified environments for running MX.3, which makes Google Cloud a third supported hyperscaler.</p><p><strong>Why it matters:</strong> Banks and asset managers standardizing on Google Cloud, or running a multicloud setup for operational resilience and DORA style concentration risk, can now host their trading, treasury and risk platform there. The release says clients are exploring it but names no live client yet.</p><p>Impact: Medium. Verification: Verified. Type: Integration / interoperability.</p><p>Evidence: <a href="https://www.murex.com/en/news/murex-and-google-cloud-announce-strategic-partnership-accelerate-innovation-capital-markets">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/murex">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
    </item>
    <item>
      <title>Kount's 23 September release reworks Link Analysis in Payments Fraud, with color coded matching that shows which criteria each related…</title>
      <link>https://aifintechindex.com/changelog/kount</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece9733993b</guid>
      <pubDate>Wed, 23 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Fraud Detection &amp; Transaction Risk</category>
      <category>AML, KYC &amp; Financial Crime</category>
      <category>payments-intelligence</category>
      <description><![CDATA[<p>Kount's 23 September release reworks Link Analysis in Payments Fraud, with color coded matching that shows which criteria each related order shares, address line 2 as a new linking criterion, and approve, decline, review and bulk decision actions directly from the table. Kount 360 also gains a Webhook History table listing sent webhooks by solution, event type and status, with retry for failed webhooks and test sends.</p><p><strong>Why it matters:</strong> Fraud analysts can see why orders are linked and act on a whole ring from one screen. Integration teams can find and resend failed webhooks without submitting a real order.</p><p>Impact: Medium. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://support.kount.com/hc/en-us/articles/53642604118420-Release-Notes-September-2026">Vendor documentation</a></p><p>Source: <a href="https://aifintechindex.com/changelog/kount">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>Kore.ai AI for Work v1.21.0 adds an Enable guardrail toggle to the Tools section of an MCP server, so account guardrails run before any…</title>
      <link>https://aifintechindex.com/changelog/kore-ai</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece9733993a</guid>
      <pubDate>Wed, 23 Sep 2026 12:00:00 GMT</pubDate>
      <category>Safety / governance</category>
      <category>Customer &amp; Banking Agents</category>
      <category>Lending &amp; Banking Operations</category>
      <description><![CDATA[<p>Kore.ai AI for Work v1.21.0 adds an Enable guardrail toggle to the Tools section of an MCP server, so account guardrails run before any tool executes. The release also gives administrators a Models tab in Workspace Settings to enable, disable and reorder the LLM models available to each workspace.</p><p><strong>Why it matters:</strong> Banks and insurers letting employee agents call tools over MCP get a pre execution control point and can restrict which models each team uses, which supports model inventory and human oversight expectations.</p><p>Impact: Medium. Verification: Verified. Type: Safety / governance.</p><p>Evidence: <a href="https://docs.kore.ai/ai-for-work/release-notes/release-updates">Vendor documentation</a></p><p>Source: <a href="https://aifintechindex.com/changelog/kore-ai">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>Juniper Square launched Capital Intelligence, a new add on product inside its Investor CRM built on Nasdaq eVestment Market Lens data…</title>
      <link>https://aifintechindex.com/changelog/juniper-square</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339939</guid>
      <pubDate>Wed, 23 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Capital Markets &amp; Research AI</category>
      <category>Compliance, Surveillance &amp; RegTech</category>
      <description><![CDATA[<p>Juniper Square launched Capital Intelligence, a new add on product inside its Investor CRM built on Nasdaq eVestment Market Lens data covering 30,000+ institutional firms, 70,000+ mandates and 100,000+ investor and consultant professionals. An AI matching engine proposes links between a GP's existing contacts and the Nasdaq dataset, a new Pipeline Builder feature searches and imports investor and consultant profiles by firm type, AUM and geography, and the system flags contact, consultant and mandate changes. Every AI match and record update stays a suggestion until a team member accepts it.</p><p><strong>Why it matters:</strong> GPs get institutional LP and consultant data kept current inside the CRM without a separate data integration project, and firms that already license Market Lens can connect their existing subscription. The accept before write design keeps a person accountable for each record change the AI proposes.</p><p>Impact: Medium. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.junipersquare.com/news/introducing-capital-intelligence">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/juniper-square">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>INSTANDA's no code policy administration and distribution platform is now listed in Accelerant's Marketplace, giving MGAs and carriers in…</title>
      <link>https://aifintechindex.com/changelog/instanda</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339938</guid>
      <pubDate>Wed, 23 Sep 2026 12:00:00 GMT</pubDate>
      <category>Integration / interoperability</category>
      <category>Insurance AI</category>
      <description><![CDATA[<p>INSTANDA's no code policy administration and distribution platform is now listed in Accelerant's Marketplace, giving MGAs and carriers in the Accelerant network direct access to it. INSTANDA Clear, its governed workspace for underwriting referrals, exceptions and complex adjustments with automatic logging of every action, is also available through the listing.</p><p><strong>Why it matters:</strong> MGAs and carriers already in the Accelerant network get a vetted route to procure INSTANDA and Clear without a standalone vendor evaluation. The listing widens access to existing products rather than adding new function, and Accelerant's own listing page could not be opened to confirm it.</p><p>Impact: Low. Verification: Partially Verified. Type: Integration / interoperability.</p><p>Evidence: <a href="https://instanda.com/news/accelerant-welcomes-instanda-into-its-marketplace">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/instanda">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>Incognia added behavioral biometrics to its web risk intelligence, so it can now assess mouse movement and clicks, keyboard interaction…</title>
      <link>https://aifintechindex.com/changelog/incognia</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339937</guid>
      <pubDate>Wed, 23 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Fraud Detection &amp; Transaction Risk</category>
      <category>AML, KYC &amp; Financial Crime</category>
      <description><![CDATA[<p>Incognia added behavioral biometrics to its web risk intelligence, so it can now assess mouse movement and clicks, keyboard interaction, and copy, paste and cut activity, including whether those events are trusted browser events or synthetically generated. The signals are evaluated alongside its browser, device, integrity, bot and automation, and Verified IP Location signals, with step up to Cross Device Authentication on a trusted phone when web evidence is not enough.</p><p><strong>Why it matters:</strong> Banks and fintechs defending web logins and account changes get a signal for scripted or synthetic sessions without adding a challenge for every user. The post states the business, not Incognia, makes the final risk and authorization decision.</p><p>Impact: Medium. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.incognia.com/blog/strengthening-web-risk-decisions-with-behavioral-biometrics">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/incognia">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>Glia launched Glia Relationship Management, a built in AI CRM that joins voice, digital and branch interaction history with core banking…</title>
      <link>https://aifintechindex.com/changelog/glia</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339936</guid>
      <pubDate>Wed, 23 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Customer &amp; Banking Agents</category>
      <category>Insurance AI</category>
      <description><![CDATA[<p>Glia launched Glia Relationship Management, a built in AI CRM that joins voice, digital and branch interaction history with core banking data such as balances, transactions, products and loans in one customer record. AI updates the record after every interaction, creates records for unmatched callers and chats, and puts a customer summary on the agent's screen when an interaction starts. The same release adds Glia Branch, which captures in person conversations and desktop activity for branch staff, feeds them into the same record, and gives staff real time AI guidance and governed agentic workflows.</p><p><strong>Why it matters:</strong> Banks and credit unions get one view of a member across the contact center, digital channels and the branch without a separate CRM project. Branch staff get the same AI assistance as the contact center, inside the same governance.</p><p>Impact: High. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.glia.com/news/glia-introduces-banking-crm-and-branch-intelligence-to-supercharge-agentic-banking">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/glia">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>Entrust IDV iOS SDK 100.15.0 now stores capture videos in a protected on device location and deletes them automatically once they are no…</title>
      <link>https://aifintechindex.com/changelog/entrust</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339935</guid>
      <pubDate>Wed, 23 Sep 2026 12:00:00 GMT</pubDate>
      <category>Security / compliance</category>
      <category>AML, KYC &amp; Financial Crime</category>
      <category>Fraud Detection &amp; Transaction Risk</category>
      <category>Customer &amp; Banking Agents</category>
      <description><![CDATA[<p>Entrust IDV iOS SDK 100.15.0 now stores capture videos in a protected on device location and deletes them automatically once they are no longer needed. Hosted capture modules now run in a nonpersistent WebKit data store and SDK network requests no longer write to the on disk URL cache, so no verification session data is left in the host app's container. The release also adds an EntrustIdvTrial module to the Swift package and fixes NFC handling for all NFC capable documents.</p><p><strong>Why it matters:</strong> Banks and lenders embedding identity verification in their mobile apps get less residual selfie, document video and session data on customer phones, which narrows the biometric and personal data exposure they must account for in privacy and GLBA reviews.</p><p>Impact: Medium. Verification: Verified. Type: Security / compliance.</p><p>Evidence: <a href="https://github.com/EntrustCorporation/IdvSDK-iOS/releases/tag/100.15.0">Vendor documentation</a></p><p>Source: <a href="https://aifintechindex.com/changelog/entrust">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>Bloomberg launched a Collateralized Loan Obligations (CLO) Data solution with normalized CLO reference data plus loan level data on every…</title>
      <link>https://aifintechindex.com/changelog/bloomberg</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339934</guid>
      <pubDate>Wed, 23 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Capital Markets &amp; Research AI</category>
      <category>Compliance, Surveillance &amp; RegTech</category>
      <description><![CDATA[<p>Bloomberg launched a Collateralized Loan Obligations (CLO) Data solution with normalized CLO reference data plus loan level data on every loan held in a CLO portfolio, covering deal structures, identifiers, payment information, coverage tests and tranche level performance indicators. It is delivered through Bloomberg Data License (SFTP, REST API or a client cloud environment), B-PIPE and Bloomberg Query Language (BQL), and aligns with the Terminal functions LLD&lt;GO&gt; and CPR&lt;GO&gt;.</p><p><strong>Why it matters:</strong> Insurers, asset managers and banks holding CLO tranches can trace exposure from tranche to underlying loan to corporate borrower through FIGI mapping and join it with Bloomberg regulatory, risk and credit data. ASKB access to this data is only planned, so AI querying of CLO collateral has not shipped yet.</p><p>Impact: Medium. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.prnewswire.com/news-releases/bloomberg-launches-comprehensive-clo-reference-data-solution-connecting-insights-across-the-investment-lifecycle-302886975.html">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/bloomberg">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>Socure corrected feature logic in the Sigma Identity Fraud and Sigma Synthetic Fraud models that treated last 4 SSN or ITIN inputs as full…</title>
      <link>https://aifintechindex.com/changelog/socure</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab932e497930970b5fd027e</guid>
      <pubDate>Tue, 22 Sep 2026 12:00:00 GMT</pubDate>
      <category>Model / architecture</category>
      <category>AML, KYC &amp; Financial Crime</category>
      <category>Fraud Detection &amp; Transaction Risk</category>
      <description><![CDATA[<p>Socure corrected feature logic in the Sigma Identity Fraud and Sigma Synthetic Fraud models that treated last 4 SSN or ITIN inputs as full 9 digit values, which generally produced riskier scores. Score distributions for 4 digit inputs now shift slightly lower and align with 9 digit and missing SSN inputs, with stated gains in precision and recall.</p><p><strong>Why it matters:</strong> Lenders and card issuers that collect only the last 4 SSN digits will see score distributions move, so fraud strategy and model risk teams should recheck cutoffs and approval rates for that segment. It also removes a source of excess declines or step ups for applicants who supply a partial SSN.</p><p>Impact: Medium. Verification: Verified. Type: Model / architecture.</p><p>Evidence: <a href="https://help.socure.com/riskos/page/release-notes#t-2026-09-22-more-accurate-scoring-for-last-4-ssn-and-itin-inputs">Vendor documentation</a></p><p>Source: <a href="https://aifintechindex.com/changelog/socure">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>Psympl and Experian published results from FreeStar Financial Credit Union, which used Experian Marketing Attributes to select 10,000…</title>
      <link>https://aifintechindex.com/changelog/psympl</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab932e497930970b5fd027d</guid>
      <pubDate>Tue, 22 Sep 2026 12:00:00 GMT</pubDate>
      <category>Performance evidence</category>
      <category>Customer &amp; Banking Agents</category>
      <category>Wealth &amp; Advisory AI</category>
      <category>Insurance AI</category>
      <description><![CDATA[<p>Psympl and Experian published results from FreeStar Financial Credit Union, which used Experian Marketing Attributes to select 10,000 prospects and Psympl Motivation Mindsets to tailor a 4 percent high yield savings campaign by direct mail and geotargeted digital ads. FreeStar reported $690,000 in new deposits within two weeks and $1.2 million within 30 days, a stated 3X return. It has since extended Motivation Activation into lending, reporting a 337 percent increase in first mortgage applications and an average loan size increase of more than $132,000, 2025 versus 2026.</p><p><strong>Why it matters:</strong> This is a named credit union with dollar and application figures, which lets banks and credit unions weigh psychographic targeting against their own deposit and lending campaign costs. The numbers are self reported by the institution and vendor, with no control group described.</p><p>Impact: Medium. Verification: Verified. Type: Performance evidence.</p><p>Evidence: <a href="https://www.psympl.com/media/freestar-financial-credit-union-generates-12-million-in-new-deposits-in-30-days-with-psympl-and-experian">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/psympl">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>Prism Data's analytics suite, including CashScore, Income Intelligence and Insights Attributes, is now available inside Engine by Gen's…</title>
      <link>https://aifintechindex.com/changelog/prism-data</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab932e497930970b5fd027c</guid>
      <pubDate>Tue, 22 Sep 2026 12:00:00 GMT</pubDate>
      <category>Integration / interoperability</category>
      <category>Credit Decisioning &amp; Underwriting</category>
      <category>Lending &amp; Banking Operations</category>
      <category>Fraud Detection &amp; Transaction Risk</category>
      <description><![CDATA[<p>Prism Data's analytics suite, including CashScore, Income Intelligence and Insights Attributes, is now available inside Engine by Gen's embedded finance platform. Financial product providers on Engine's 1,300 partner network can apply Prism's cash flow analytics to bank data consumers have permissioned on the Engine platform, for credit evaluation, income assessment and product matching without extra applicant steps.</p><p><strong>Why it matters:</strong> Lenders already on Engine can use cash flow scores and income data at the marketing and prequalification stage, before a formal application, without building a separate Prism integration.</p><p>Impact: Medium. Verification: Verified. Type: Integration / interoperability.</p><p>Evidence: <a href="https://www.prismdata.com/blog/prism-data-joins-engine-by-gen-embedded-finance-platform/">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/prism-data">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
    </item>
    <item>
      <title>Xapien released a native application on the ServiceNow AI Platform, available in the ServiceNow Store with free trials for ServiceNow…</title>
      <link>https://aifintechindex.com/changelog/xapien</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339933</guid>
      <pubDate>Tue, 22 Sep 2026 12:00:00 GMT</pubDate>
      <category>Integration / interoperability</category>
      <category>Compliance, Surveillance &amp; RegTech</category>
      <category>AML, KYC &amp; Financial Crime</category>
      <category>Wealth &amp; Advisory AI</category>
      <description><![CDATA[<p>Xapien released a native application on the ServiceNow AI Platform, available in the ServiceNow Store with free trials for ServiceNow customers. The app runs a full, sourced background check on any company or person inside ServiceNow workflows and enriches the out of the box risk scores in ServiceNow Third-Party Risk Management, with configuration for other modules.</p><p><strong>Why it matters:</strong> Banks and insurers that run onboarding and third party risk in ServiceNow can pull Xapien adverse media, sanctions and ownership findings into the risk record without a separate tool or manual rekeying. It gives compliance teams an auditable due diligence result attached to the TPRM workflow where the approval decision is made.</p><p>Impact: Medium. Verification: Verified. Type: Integration / interoperability.</p><p>Evidence: <a href="https://xapien.com/news-and-events/xapien-servicenow-partnership/">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/xapien">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
    </item>
    <item>
      <title>Verisk and Equifax introduced Inflection Homeowners, a credit based insurance score built for property insurers that uses trended credit…</title>
      <link>https://aifintechindex.com/changelog/verisk</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339932</guid>
      <pubDate>Tue, 22 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Insurance AI</category>
      <category>Fraud Detection &amp; Transaction Risk</category>
      <category>alternative-data</category>
      <description><![CDATA[<p>Verisk and Equifax introduced Inflection Homeowners, a credit based insurance score built for property insurers that uses trended credit attributes instead of a point in time credit snapshot. It is aimed at homeowners underwriting, quoting and renewal decisions and extends the existing Inflection Auto model to property lines. Verisk states its own analyses show 2.6X lift between the lowest and highest risk bands.</p><p><strong>Why it matters:</strong> Homeowners carriers get a bureau codeveloped rating variable, and Verisk's product page says the model has been filed in most states and approved in a majority of those requiring filings, which shortens the path to rate use. The lift figure is vendor stated with no published method, so carriers still need to validate it on their own book.</p><p>Impact: Medium. Verification: Partially Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.verisk.com/blog/a-new-era-in-homeowners-credit-risk-evaluation/">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/verisk">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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    <item>
      <title>Tidalwave added HELOC support to its SOLO AI origination platform as a separate product line rather than a setting on the mortgage flow.</title>
      <link>https://aifintechindex.com/changelog/tidalwave</link>
      <guid isPermaLink="false">aifintechindex.com:change:6ab9323c7d25dece97339931</guid>
      <pubDate>Tue, 22 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Lending &amp; Banking Operations</category>
      <category>Credit Decisioning &amp; Underwriting</category>
      <category>Customer &amp; Banking Agents</category>
      <description><![CDATA[<p>Tidalwave added HELOC support to its SOLO AI origination platform as a separate product line rather than a setting on the mortgage flow. SOLO's agentic AI runs a HELOC specific borrower intake, keeps the approved credit line and initial draw as separate figures, calculates draw and repayment period math, validates that the initial draw stays within the approved line, records the correct lien position, and passes HELOC specific terms into the LOS.</p><p><strong>Why it matters:</strong> Lenders adding home equity volume while refinance demand is weak can run second lien HELOCs through the same AI intake and LOS handoff instead of forcing them through first lien forms and manual rekeying. The post names no live lender deployments, so buyers should confirm availability and LOS coverage (the tech specs list ICE Encompass and Calyx Path).</p><p>Impact: Medium. Verification: Partially Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.tidalwave.com/blog/how-we-built-heloc">Vendor announcement</a></p><p>Source: <a href="https://aifintechindex.com/changelog/tidalwave">AI FinTech Index change log</a>. Free to reuse with a link back. <a href="https://aifintechindex.com/use-this-data">Terms</a>.</p>]]></description>
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