AML, KYC & Financial Crime
N

Nasdaq Verafin

Nasdaq Verafin is a cloud financial crime management platform for banks and credit unions, founded in 2003 in St John's, Newfoundland and acquired by Nasdaq in 2021. It covers anti money laundering and counter terrorist financing, fraud detection, sanctions screening, high risk customer management, investigation, information sharing and regulatory reporting, and its detection layer is built on a cross institutional consortium data network of more than 2,800 customer institutions holding more than $13 trillion in collective assets, which it presents as the source of its typology awareness.

Nasdaq's 2025 annual report describes the platform as serving more than 2,750 North American financial institutions, including global systemically important banks. Since late 2025 the company has shipped an agentic AI workforce of named analysts for sanctions, anti money laundering, enhanced due diligence and fraud alerts, which triage alerts, gather context and either clear them or escalate them for manual review, with auto dispositioning available for fully autonomous workflows and reporting and performance tools for oversight. More than 750 institutions use the agentic products.

A platform agnostic deployment model extends the same workers across third party systems, where the agent signs into the other vendor's product and works its alert queue as a person would. Institutions can configure the level of automation and of human review separately for each workflow. First National Bank of Omaha reports a 50 percent cut in time spent on enhanced due diligence and sanctions alerts, and Pinnacle Bank reports 30 percent fewer false positives.

Last VerifiedOctober 2, 2026
Compare Nasdaq Verafin with other vendors
Founded
2003
Headquarters
St John's, Newfoundland and Labrador, Canada
Website
verafin.com
Categories
aml-kyc-financial-crime, fraud-and-transaction-risk
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 5 graded A or B

AI Capability
AI Centrality
AA on AI CentralityThe artificial intelligence is the product. Remove the models and there is nothing left to sell.
Vendor Published

Detection, carried by models trained on the consortium network, sits upstream of everything else, so without the models case management and filing have nothing arriving in them. The agentic workforce extends those models into analyst triage for sanctions, due diligence and fraud alerts, sold as role level automation.

Autonomy and Oversight Model
BB on Autonomy and Oversight ModelA written commitment that the models work alongside human judgment, with real review surfaces, short of the full control structure: commonly the threshold at which the system stops or what happens after it is wrong.
Vendor Published

Institutions set automation and human review separately for each workflow, and agentic analysts triage alerts and either clear them or escalate them for manual review, with oversight reporting. Auto dispositioning allows fully autonomous workflows with no published defaults or floor, and a wrongly cleared alert is a suspicious activity report never filed.

Model Risk Management and Transparency
CC on Model Risk Management and TransparencyTransparency is claimed in general terms with no mechanism a model validator could interrogate.
Vendor Published

Reduced false positives and review time are sold with no baseline and no word on what happened to true positives. Model documentation, detection rates and drift policy are unpublished for models that decide who is investigated.

Operational and Outcome Evidence
AA on Operational and Outcome EvidenceNamed customers with hard performance figures and enough method to test them.
Vendor Published

First National Bank of Omaha cut time on enhanced due diligence and sanctions alerts by 50 percent with the agentic analysts, with its BSA and AML officer and chief risk officer quoted, and Pinnacle Bank reports 30 percent fewer false positives and 25 percent more prevented losses within 30 days. More than 750 institutions use the agentic products, but no method sits behind any figure.

AI Safety and Data Stewardship
CC on AI Safety and Data StewardshipGeneral assurances that do not answer the question this axis asks, which is whether one customer’s data trains models serving its competitors. Unbounded cross client learning stated with no boundary grades here too.
Vendor Published

Typology awareness comes from a consortium of more than 2,800 institutions, and the agentic analysts draw on its insights as they work. Nothing covers whether contribution is a condition of use or whether an institution can consume without contributing.

Regulatory and Compliance
GLBA and Data Privacy Posture
CC on GLBA and Data Privacy PostureA standard privacy policy that covers the website rather than the service, or silence on a product that touches limited consumer data.
Vendor Published

A general privacy policy is linked, but nothing sets out the legal basis, de identification or retention for consortium data, or what happens to an institution's data when it leaves. Its information sharing product hints that a statutory sharing route may sit behind the consortium.

Security Certifications and Trust Center
CC on Security Certifications and Trust CenterA single footer line, or certifications asserted without being enumerated, which is weaker than naming them because it invites an assumption a buyer cannot check.
Vendor Published

Encryption in transit and at rest, round the clock monitoring and disaster recovery appear in a cloud fact sheet, without any certification, attestation report or trust portal. Service organization reports would be expected from a listed parent with thousands of supervised clients, yet none is named.

Regulatory Status and Licensure
CC on Regulatory Status and LicensureThe regulatory position is unstated. Most vendors in this index are technology suppliers and being unlicensed is the correct posture, so this grade records silence about the posture, not a missing license.
Vendor Published

Supervised status goes unstated, and Nasdaq's 2025 annual report does not describe federal banking agency examination of the Verafin service. It hosts and processes transaction data for banks and credit unions, the profile service provider examination usually covers.

AI Governance and Bias Disclosure
CC on AI Governance and Bias DisclosureResponsible artificial intelligence committed to in policy language with no evaluation behind it, on a product whose bias surface is modest.
Vendor Published

Triage decides which customers are investigated and reported, and the models learn typologies from a pooled corpus whose composition is not described, so any skew in past consortium reporting carries forward. No fairness testing or protected class analysis is published.

AI Liability and Recourse
CC on AI Liability and RecourseMechanisms that enable challenge, such as audit trails and source traceability, with nothing standing behind the output and no route for the person affected.
Vendor Published

An alert auto closed that should have been escalated becomes the institution's compliance failure, and Nasdaq Verafin publishes nothing on how such losses are treated. A person reported or blocked has no visibility of the model or the consortium behind the decision.

Integration and Deployment
Model Supply Chain Disclosure
CC on Model Supply Chain DisclosureThe architecture is described and no provider is named.
Vendor Published

Agents and consortium data are described in detail, yet no model, provider, architecture or version is named. Nor is it said whether alert or consortium data reaches an external model provider.

Core Systems and Integration Depth
BB on Core Systems and Integration DepthNamed systems or a documented public API, with the depth or the production evidence left open.
Vendor Published

Data flows in from the core systems of thousands of institutions, and agents can sign in to a third party system and work its alert queue as an employee would, integration by agent rather than interface. Named core banking or case management connectors are not published.

Deployment Model and Data Residency
CC on Deployment Model and Data ResidencyCloud only with nothing stated, which is the category norm.
Vendor Published

Delivery runs from its own cloud, with overlay agents working inside third party systems, but no region, residency or tenancy statement is published. Transaction data pooled from the United States and Canada raises whether the two are kept apart.

Commercial
Commercial Transparency
CC on Commercial TransparencyNo price is published and engagement runs through a demo form, which is the norm in this index.
Vendor Published

Direct engagement is the only route, with no price, tier or unit published, and Nasdaq reports the line inside a segment rather than by product. Whether agentic analysts are charged per alert, per workflow or per institution is unknown.

Institution and Segment Coverage
BB on Institution and Segment CoverageNamed segments with dedicated material behind part of the coverage.
Vendor Published

More than 2,750 North American banks and credit unions, global systemically important banks among them, use products spanning anti money laundering, fraud and sanctions. Material is organized by product, with no separate surface for community banks or large banks.

Tracked Since Listing

Product updates

Material product, regulatory, evidence and commercial changes at Nasdaq Verafin, each verified against a live source and tagged to the capability axis it bears on. Funding rounds and awards are not product changes and are not logged.

Sep 15, 2026Integration / interoperabilityPartially verified

Nasdaq Verafin released an integration with Stablecore that brings digital asset transaction activity into the Verafin platform, so fiat and digital asset data can be monitored together for financial crime. It is in beta with select customers.

Bears on: Core Systems and Integration DepthSource
Our read on this update →Tracked since Sep 2026

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The index publishes no overall score or ranking. See what we assess and the methodology.

Commercial

Pricing

Vendor-published figures are labeled as such. Figures labeled “Estimated” are derived from third-party sources and have not been confirmed by the vendor.

No pricing data has been verified for this vendor. Pricing information will be published here once confirmed through vendor disclosure or third-party estimation.

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AI FinTech Index

The AI FinTech Index is an independent index that tracks changes to AI vendors in financial services. It holds 610 vendors across banking, lending, insurance, wealth, capital markets and financial crime compliance, each graded on the same 15 capability axes from public sources. No vendor pays for inclusion, placement, or rating.

Index Status
Last index update
October 20, 2026
The AI FinTech Index is an editorial reference, not a regulatory body. Vendor data is verified against published sources and public regulatory filings. Figures labeled “Estimated” have not been confirmed by the vendor. See the Methodology page for evaluation standards and limitations.
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