AI FinTech Index: Compliance, Surveillance & RegTech changes https://aifintechindex.com/categories/compliance-and-surveillance Material product changes at Compliance, Surveillance & RegTech vendors, tracked by AI FinTech Index. Every entry is dated and cited to a public source. en-us Free to reuse with a visible link to aifintechindex.com. Terms: https://aifintechindex.com/use-this-data Fri, 25 Sep 2026 12:00:00 GMT 720 https://aifintechindex.com/icon-192.png AI FinTech Index: Compliance, Surveillance & RegTech changes https://aifintechindex.com/categories/compliance-and-surveillance Ruleguard 4.112.0 makes Regulatory Change Update tasks a measure of their own in MI 2. https://aifintechindex.com/changelog/ruleguard aifintechindex.com:change:6ab932e497930970b5fd0285 Fri, 25 Sep 2026 12:00:00 GMT Product / capability Compliance, Surveillance & RegTech Insurance AI 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.

Why it matters: 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.

Impact: Low. Verification: Verified. Type: Product / capability.

Evidence: Vendor documentation

Source: AI FinTech Index change log. Free to reuse with a link back. Terms.

]]> 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… https://aifintechindex.com/changelog/ibl-ai aifintechindex.com:change:6ab9323c7d25dece97339952 Fri, 25 Sep 2026 12:00:00 GMT Security / compliance Compliance, Surveillance & RegTech Capital Markets & Research AI Wealth & Advisory AI 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.

Why it matters: 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.

Impact: Medium. Verification: Verified. Type: Security / compliance.

Evidence: Vendor documentation

Source: AI FinTech Index change log. Free to reuse with a link back. Terms.

]]> ibl.ai extended its PII and PHI filtering to in chat file uploads, covering text, Office documents, images (OCR plus pixel redaction) and… https://aifintechindex.com/changelog/ibl-ai aifintechindex.com:change:6ab9323c7d25dece97339951 Fri, 25 Sep 2026 12:00:00 GMT Security / compliance Compliance, Surveillance & RegTech Capital Markets & Research AI Wealth & Advisory AI 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.

Why it matters: 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.

Impact: High. Verification: Verified. Type: Security / compliance.

Evidence: Vendor documentation

Source: AI FinTech Index change log. Free to reuse with a link back. Terms.

]]> CipherOwl's SR3 CLI release 2026.4.0 regroups commands under screen, reason, research, report, case, auth, config and agent, and new agent… https://aifintechindex.com/changelog/cipherowl aifintechindex.com:change:6ab9323c7d25dece97339950 Fri, 25 Sep 2026 12:00:00 GMT Product / capability AML, KYC & Financial Crime Fraud Detection & Transaction Risk Compliance, Surveillance & RegTech 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.

Why it matters: 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.

Impact: Medium. Verification: Verified. Type: Product / capability.

Evidence: Vendor documentation

Source: AI FinTech Index change log. Free to reuse with a link back. Terms.

]]> S&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. https://aifintechindex.com/changelog/sp-global-market-intelligence aifintechindex.com:change:6ab932e497930970b5fd0284 Thu, 24 Sep 2026 12:00:00 GMT Security / compliance Capital Markets & Research AI Credit Decisioning & Underwriting Compliance, Surveillance & RegTech Insurance AI 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.

Why it matters: Firms pulling S&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.

Impact: Medium. Verification: Partially Verified. Type: Security / compliance.

Evidence: Vendor documentation

Source: AI FinTech Index change log. Free to reuse with a link back. Terms.

]]> Ripjar upgraded the adverse media risk classifiers in its ULTRA engine, which read each news article to decide whether it relates to a… https://aifintechindex.com/changelog/ripjar aifintechindex.com:change:6ab932e497930970b5fd0282 Thu, 24 Sep 2026 12:00:00 GMT Model / architecture AML, KYC & Financial Crime Compliance, Surveillance & RegTech 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.

Why it matters: 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.

Impact: Medium. Verification: Verified. Type: Model / architecture.

Evidence: Vendor announcement

Source: AI FinTech Index change log. Free to reuse with a link back. Terms.

]]> Vertafore introduced two Velocity AI agents for MGA underwriting: the Change Request Agent, which summarizes what changed across renewal… https://aifintechindex.com/changelog/vertafore aifintechindex.com:change:6ab9323c7d25dece9733994d Thu, 24 Sep 2026 12:00:00 GMT Product / capability Insurance AI Compliance, Surveillance & RegTech 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.

Why it matters: 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.

Impact: Medium. Verification: Partially Verified. Type: Product / capability.

Evidence: Vendor announcement

Source: AI FinTech Index change log. Free to reuse with a link back. Terms.

]]> SymphonyAI introduced Symphony Risk Intelligence (SRI), an agent native financial crime compliance platform built around a System of… https://aifintechindex.com/changelog/symphonyai aifintechindex.com:change:6ab9323c7d25dece9733994c Thu, 24 Sep 2026 12:00:00 GMT Product / capability AML, KYC & Financial Crime Compliance, Surveillance & RegTech Fraud Detection & Transaction Risk 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.

Why it matters: 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.

Impact: Medium. Verification: Partially Verified. Type: Product / capability.

Evidence: Vendor announcement

Source: AI FinTech Index change log. Free to reuse with a link back. Terms.

]]> LexisNexis Risk Solutions integrated its Drive Metrics telematics scoring model into the IMS EdgeSDK, a smartphone SDK that U.S. auto… https://aifintechindex.com/changelog/lexisnexis-risk-solutions aifintechindex.com:change:6ab9323c7d25dece97339948 Thu, 24 Sep 2026 12:00:00 GMT Integration / interoperability AML, KYC & Financial Crime Fraud Detection & Transaction Risk Compliance, Surveillance & RegTech 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.

Why it matters: 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.

Impact: Medium. Verification: Verified. Type: Integration / interoperability.

Evidence: Vendor announcement

Source: AI FinTech Index change log. Free to reuse with a link back. Terms.

]]> FinTech Studios announced general availability of its MCP connector, now listed in the official Claude and ChatGPT connector directories… https://aifintechindex.com/changelog/fintech-studios aifintechindex.com:change:6ab9323c7d25dece97339946 Thu, 24 Sep 2026 12:00:00 GMT Integration / interoperability Capital Markets & Research AI Compliance, Surveillance & RegTech Wealth & Advisory AI 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.

Why it matters: 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.

Impact: Medium. Verification: Verified. Type: Integration / interoperability.

Evidence: Vendor announcement

Source: AI FinTech Index change log. Free to reuse with a link back. Terms.

]]> Feedzai launched Farol, an AI agent embedded in its RiskOps Studio, with four launch skills: Risk Strategy (analyzes rule sets, flags… https://aifintechindex.com/changelog/feedzai aifintechindex.com:change:6ab9323c7d25dece97339945 Thu, 24 Sep 2026 12:00:00 GMT Product / capability Fraud Detection & Transaction Risk AML, KYC & Financial Crime Compliance, Surveillance & RegTech 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.

Why it matters: 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.

Impact: High. Verification: Verified. Type: Product / capability.

Evidence: Vendor announcement

Source: AI FinTech Index change log. Free to reuse with a link back. Terms.

]]> FE fundinfo connected Nexus for Financial Advisers to the intelliflo adviser CRM. https://aifintechindex.com/changelog/fe-fundinfo aifintechindex.com:change:6ab9323c7d25dece97339944 Thu, 24 Sep 2026 12:00:00 GMT Integration / interoperability Wealth & Advisory AI Compliance, Surveillance & RegTech Capital Markets & Research AI 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.

Why it matters: 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.

Impact: Medium. Verification: Verified. Type: Integration / interoperability.

Evidence: Vendor announcement

Source: AI FinTech Index change log. Free to reuse with a link back. Terms.

]]> Elliptic launched Pulse, an AI tool that lets a frontline law enforcement or government officer enter a wallet address or transaction hash… https://aifintechindex.com/changelog/elliptic aifintechindex.com:change:6ab9323c7d25dece97339942 Thu, 24 Sep 2026 12:00:00 GMT Product / capability AML, KYC & Financial Crime Compliance, Surveillance & RegTech Fraud Detection & Transaction Risk 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.

Why it matters: 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.

Impact: Low. Verification: Verified. Type: Product / capability.

Evidence: Vendor announcement

Source: AI FinTech Index change log. Free to reuse with a link back. Terms.

]]> Solidus Labs says HALO is now running on GTN's global order book, providing trade surveillance and transaction monitoring across equities… https://aifintechindex.com/changelog/solidus-labs aifintechindex.com:change:6ab932e497930970b5fd0280 Wed, 23 Sep 2026 12:00:00 GMT Integration / interoperability Compliance, Surveillance & RegTech crypto-and-digital-assets AML, KYC & Financial Crime 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.

Why it matters: 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).

Impact: Medium. Verification: Partially Verified. Type: Integration / interoperability.

Evidence: Vendor announcement

Source: AI FinTech Index change log. Free to reuse with a link back. Terms.

]]> Vertafore released four new Velocity AI agents to early adopters: Document Intelligence Agent in ImageRight, Coach Agent inside AMS360 and… https://aifintechindex.com/changelog/vertafore aifintechindex.com:change:6ab9323c7d25dece9733993f Wed, 23 Sep 2026 12:00:00 GMT Product / capability Insurance AI Compliance, Surveillance & RegTech 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.

Why it matters: 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.

Impact: Medium. Verification: Verified. Type: Product / capability.

Evidence: Vendor announcement

Source: AI FinTech Index change log. Free to reuse with a link back. Terms.

]]> Pegasystems: Pega released the 26.2 Association Compliance GA package for Smart Dispute for Issuers and Smart Dispute for Acquirers (versions '23… https://aifintechindex.com/changelog/pegasystems aifintechindex.com:change:6ab9323c7d25dece9733993e Wed, 23 Sep 2026 12:00:00 GMT Integration / interoperability AML, KYC & Financial Crime Compliance, Surveillance & RegTech Lending & Banking Operations 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.

Why it matters: 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.

Impact: Medium. Verification: Verified. Type: Integration / interoperability.

Evidence: Vendor documentation

Source: AI FinTech Index change log. Free to reuse with a link back. Terms.

]]> Juniper Square launched Capital Intelligence, a new add on product inside its Investor CRM built on Nasdaq eVestment Market Lens data… https://aifintechindex.com/changelog/juniper-square aifintechindex.com:change:6ab9323c7d25dece97339939 Wed, 23 Sep 2026 12:00:00 GMT Product / capability Capital Markets & Research AI Compliance, Surveillance & RegTech 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.

Why it matters: 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.

Impact: Medium. Verification: Verified. Type: Product / capability.

Evidence: Vendor announcement

Source: AI FinTech Index change log. Free to reuse with a link back. Terms.

]]> Bloomberg launched a Collateralized Loan Obligations (CLO) Data solution with normalized CLO reference data plus loan level data on every… https://aifintechindex.com/changelog/bloomberg aifintechindex.com:change:6ab9323c7d25dece97339934 Wed, 23 Sep 2026 12:00:00 GMT Product / capability Capital Markets & Research AI Compliance, Surveillance & RegTech 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<GO> and CPR<GO>.

Why it matters: 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.

Impact: Medium. Verification: Verified. Type: Product / capability.

Evidence: Vendor announcement

Source: AI FinTech Index change log. Free to reuse with a link back. Terms.

]]> Xapien released a native application on the ServiceNow AI Platform, available in the ServiceNow Store with free trials for ServiceNow… https://aifintechindex.com/changelog/xapien aifintechindex.com:change:6ab9323c7d25dece97339933 Tue, 22 Sep 2026 12:00:00 GMT Integration / interoperability Compliance, Surveillance & RegTech AML, KYC & Financial Crime Wealth & Advisory AI 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.

Why it matters: 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.

Impact: Medium. Verification: Verified. Type: Integration / interoperability.

Evidence: Vendor announcement

Source: AI FinTech Index change log. Free to reuse with a link back. Terms.

]]> Marloo launched the Knowledge tab, a three layer knowledge base that shapes every meeting note, advice document and Ask Marloo answer it… https://aifintechindex.com/changelog/marloo aifintechindex.com:change:6ab9323c7d25dece9733992e Tue, 22 Sep 2026 12:00:00 GMT Product / capability Wealth & Advisory AI Compliance, Surveillance & RegTech Insurance AI Marloo launched the Knowledge tab, a three layer knowledge base that shapes every meeting note, advice document and Ask Marloo answer it produces. A read only Regional layer maintained by Marloo holds regulatory, tax and rate references (FINRA Rules, CFP Board standards and FOMC rates in the US, the FCA Handbook in the UK), a Company layer lets firm admins set firm wide instructions and upload advice frameworks, compliance documents, approved wordings and disclaimers, and a User layer holds each adviser's own style within those limits. The help center says it is rolling out gradually as a beta and is included on Plus plans and above with unlimited company knowledge documents.

Why it matters: Advice firms can write their compliance and house standards down once and have them applied when drafts are generated, with only admins able to change company rules, which shifts consistency checks from after the fact file sampling toward prevention. Buyers should confirm beta availability for their account before relying on it.

Impact: Medium. Verification: Verified. Type: Product / capability.

Evidence: Vendor announcement

Source: AI FinTech Index change log. Free to reuse with a link back. Terms.

]]> Fiddler AI: Fiddler Release 26.20 made a new Fiddler hosted model, Ministral 3 8B (fiddler/ministral3-8b), generally available for prebuilt LLM as a… https://aifintechindex.com/changelog/fiddler-ai aifintechindex.com:change:6ab9323c7d25dece9733992d Tue, 22 Sep 2026 12:00:00 GMT Model / architecture Compliance, Surveillance & RegTech Credit Decisioning & Underwriting Fiddler Release 26.20 made a new Fiddler hosted model, Ministral 3 8B (fiddler/ministral3-8b), generally available for prebuilt LLM as a Judge and Custom Judge evaluators, with Fiddler stating it gives more accurate judgments and reasoning at a runtime comparable to its other hosted models. The same release refreshed the LLM Gateway catalog (adding gpt-5.6-luna and gemini-3.8-flash) and removed gpt-5.6, claude-opus-5 and claude-fable-5 from the built in list across OpenAI, Anthropic, Vertex AI and Azure AI.

Why it matters: Model risk teams that use Fiddler judge scores as monitoring evidence now have a named, versioned judge model to record in model documentation. Evaluators pointed at the removed gateway models must be repointed or added back as custom models, which affects validation continuity.

Impact: Medium. Verification: Verified. Type: Model / architecture.

Evidence: Vendor documentation

Source: AI FinTech Index change log. Free to reuse with a link back. Terms.

]]> DiligenceVault published a client case study reporting that GEM Investments, an institutional asset allocator whose ODD team also acts as… https://aifintechindex.com/changelog/diligencevault aifintechindex.com:change:6ab9323c7d25dece9733992a Tue, 22 Sep 2026 12:00:00 GMT Performance evidence Wealth & Advisory AI Capital Markets & Research AI Compliance, Surveillance & RegTech DiligenceVault published a client case study reporting that GEM Investments, an institutional asset allocator whose ODD team also acts as its compliance team, saves 1 to 3 hours per manager review using DV Assist for fund document analysis, turning meeting notes into drafts, and compiling first draft ODD memos inside the platform. The case study says GEM began its rollout in Q4 2025 and names confidence scoring and source citations on every extracted insight as the features that drove adoption.

Why it matters: A named allocator with a quantified time saving on AI assisted ODD and compliance memo work gives buyers a benchmark to test against in their own evaluation. The figure is vendor published, and the stated range depends on document volume rather than a described measurement method.

Impact: Medium. Verification: Partially Verified. Type: Performance evidence.

Evidence: Vendor announcement

Source: AI FinTech Index change log. Free to reuse with a link back. Terms.

]]> Bretton AI: Bretton added configurable quality control sampling: administrators can now set disposition based QC sampling rules for each individual… https://aifintechindex.com/changelog/bretton-ai aifintechindex.com:change:6ab9323c7d25dece97339926 Tue, 22 Sep 2026 12:00:00 GMT Safety / governance AML, KYC & Financial Crime Compliance, Surveillance & RegTech Bretton added configurable quality control sampling: administrators can now set disposition based QC sampling rules for each individual agent directly in Settings. Changing how often agent case outcomes are pulled for QC review previously required manual coordination with Bretton.

Why it matters: Compliance leaders can set how much human review each agent's alert dispositions receive, by outcome, and apply that policy consistently without engineering help, which is the oversight record examiners ask about when agents close AML and screening cases.

Impact: Medium. Verification: Verified. Type: Safety / governance.

Evidence: Vendor documentation

Source: AI FinTech Index change log. Free to reuse with a link back. Terms.

]]> SESAMm: TextReveal API release 3.33.0 adds universe level metrics routes that return case and event counts with intensity score distributions… https://aifintechindex.com/changelog/sesamm aifintechindex.com:change:6ab932e497930970b5fd027b Mon, 21 Sep 2026 12:00:00 GMT Product / capability Capital Markets & Research AI Compliance, Surveillance & RegTech Wealth & Advisory AI TextReveal API release 3.33.0 adds universe level metrics routes that return case and event counts with intensity score distributions, plus entity counts grouped by highest UNGC classification, all filterable by ISIC4 sector. It also adds an experimental Universes CES Overview route that aggregates Controversy Exposure Scores for a whole universe over time (min, max and average by period), an ISIC4 sector filter on universe case, event and document routes, an entity annual revenue field, and custom column labels for CSV case and event report exports.

Why it matters: Asset managers and banks that monitor portfolios or loan books through the API can now pull portfolio level controversy, UNGC and sector exposure in one call instead of aggregating entity by entity. The CES overview route is flagged experimental, so its parameters and responses may change before teams build production reporting on it.

Impact: Medium. Verification: Verified. Type: Product / capability.

Evidence: Vendor documentation

Source: AI FinTech Index change log. Free to reuse with a link back. Terms.

]]> Ondato released Mobile SDK v3.6.0 for Android and iOS, which its release notes say brings enhanced document capture, clearer user guidance… https://aifintechindex.com/changelog/ondato aifintechindex.com:change:6ab9323c7d25dece97339923 Mon, 21 Sep 2026 12:00:00 GMT Model / architecture AML, KYC & Financial Crime Fraud Detection & Transaction Risk Compliance, Surveillance & RegTech Ondato released Mobile SDK v3.6.0 for Android and iOS, which its release notes say brings enhanced document capture, clearer user guidance and configurable consent options. The iOS release notes add that the Autocapture automatic document capture model was migrated to a different provider for accuracy and speed, the FaceTec liveness SDK was updated to 9.3.137, full screen document and face capture guideline pop ups were added, and the consent approve button now unlocks only after the user has had a chance to review the terms.

Why it matters: Banks, neobanks and PSPs embedding Ondato in mobile onboarding get a changed third party document capture model and liveness component, which can shift pass rates and belongs in vendor and model inventories. The consent gating change gives firms better evidence that applicants reviewed terms before approving.

Impact: Medium. Verification: Verified. Type: Model / architecture.

Evidence: Vendor documentation

Source: AI FinTech Index change log. Free to reuse with a link back. Terms.

]]> Linkurious Enterprise v4.3.13 makes Copilot answers cite the specific nodes and edges they draw on and lets analysts inspect the Cypher… https://aifintechindex.com/changelog/linkurious aifintechindex.com:change:6ab9323c7d25dece97339921 Mon, 21 Sep 2026 12:00:00 GMT Product / capability AML, KYC & Financial Crime Fraud Detection & Transaction Risk Compliance, Surveillance & RegTech Linkurious Enterprise v4.3.13 makes Copilot answers cite the specific nodes and edges they draw on and lets analysts inspect the Cypher query Copilot ran against the graph. The same release locks local user accounts after too many failed logins and can stop users reusing previous passwords. Copilot is still labeled beta and runs on a model the customer supplies.

Why it matters: Investigators can check a Copilot answer against the graph records behind it before relying on it. The new account controls matter for deployments that do not sign users in through SSO.

Impact: Medium. Verification: Verified. Type: Product / capability.

Evidence: Vendor documentation

Source: AI FinTech Index change log. Free to reuse with a link back. Terms.

]]> Dotfile rebuilt Analytics around three read only dashboards: an executive Overview (approval rate, time to decision, automation rate… https://aifintechindex.com/changelog/dotfile aifintechindex.com:change:6ab9323c7d25dece9733991e Mon, 21 Sep 2026 12:00:00 GMT Product / capability AML, KYC & Financial Crime Compliance, Surveillance & RegTech Fraud Detection & Transaction Risk Dotfile rebuilt Analytics around three read only dashboards: an executive Overview (approval rate, time to decision, automation rate, portfolio risk), AML & Screening (alert resolution times, false positive rate, hit review outcomes) and Documents, ID & eKYC (pass rates and rejection reasons). Users can ask the Autonomy agent in plain language for any other chart, and Autonomy only saves it to a dashboard after the user clicks Approve. Every figure opens the underlying case and check records, which can be exported as CSV or XLSX (up to 500,000 rows) or as a dashboard PDF, with new role permissions for access and custom dashboards.

Why it matters: Compliance teams can now pull automation rate, false positive rate and time to decision straight from the system of record for auditors and boards, with each number traceable to the cases behind it. The approval step before Autonomy writes anything shows how the agent's actions are kept under human control.

Impact: Medium. Verification: Verified. Type: Product / capability.

Evidence: Vendor documentation

Source: AI FinTech Index change log. Free to reuse with a link back. Terms.

]]> Bretton AI: Bretton published a benchmark of its Agents V2 architecture against Agent V1 on two 250 subject sets (KYC enhanced due diligence with 7… https://aifintechindex.com/changelog/bretton-ai aifintechindex.com:change:6ab9323c7d25dece9733991d Mon, 21 Sep 2026 12:00:00 GMT Performance evidence AML, KYC & Financial Crime Compliance, Surveillance & RegTech Bretton published a benchmark of its Agents V2 architecture against Agent V1 on two 250 subject sets (KYC enhanced due diligence with 7 checks, KYB due diligence with 13 checks), with every run graded by its Bretton Evaluator LLM judge on four pass or fail criteria. It reports errors down 37% on KYC and 23% on KYB, perfect score reports up from 42% to 59% and 26% to 38%, and no added run time.

Why it matters: Model risk teams get a stated test design (same subjects and skills, only the architecture changed, hidden subjects with planted defects and name only plants) they can ask to see, though the grader is Bretton's own LLM judge rather than an independent validator.

Impact: Medium. Verification: Partially Verified. Type: Performance evidence.

Evidence: Vendor announcement

Source: AI FinTech Index change log. Free to reuse with a link back. Terms.

]]> Aptus.AI launched Next-OS, a platform that turns legal and regulatory texts into structured data to automate compliance work such as… https://aifintechindex.com/changelog/aptus-ai aifintechindex.com:change:6aaeac5261f1cb06e5aba081 Thu, 17 Sep 2026 12:00:00 GMT Product / capability Compliance, Surveillance & RegTech Insurance AI Aptus.AI launched Next-OS, a platform that turns legal and regulatory texts into structured data to automate compliance work such as checking rules, tracking amendments and mapping regulatory impact. Aptus.AI reports that one large organization cut legal opinion preparation time by 50 to 60 percent across about 110 opinions a month.

Why it matters: Regulatory change management is where compliance teams lose the most hours to reading. The efficiency figure comes from a single unnamed client and is vendor reported, so treat it as a claim to test on the buyer's own rulebook rather than a benchmark.

Impact: Medium. Verification: Partially Verified. Type: Product / capability.

Evidence: Trade press

Source: AI FinTech Index change log. Free to reuse with a link back. Terms.

]]> Elliptic launched Decode, an AI agent built on its blockchain intelligence platform that answers natural language questions about… https://aifintechindex.com/changelog/elliptic aifintechindex.com:change:6aaeac5261f1cb06e5aba07d Thu, 17 Sep 2026 12:00:00 GMT Product / capability AML, KYC & Financial Crime Compliance, Surveillance & RegTech Fraud Detection & Transaction Risk Elliptic launched Decode, an AI agent built on its blockchain intelligence platform that answers natural language questions about cryptoasset addresses and their exposure. Every answer carries Thinking Steps showing how the question was interpreted and the query that produced it, and Elliptic states the same question against the same data reaches the same conclusion. Elliptic positions it as the first solution built to the Elliptic Standard, published a week earlier. It is live with government customers, with private sector availability stated for later in the year.

Why it matters: Crypto compliance teams have to defend every risk call to an examiner, and an answer without its reasoning is hard to defend. The Thinking Steps are the feature to test: check whether they cite the underlying attributed intelligence Elliptic holds, or only narrate the conclusion. Private sector buyers should note this is not generally available yet.

Impact: High. Verification: Verified. Type: Product / capability.

Evidence: Vendor announcement

Source: AI FinTech Index change log. Free to reuse with a link back. Terms.

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