AML, KYC & Financial Crime
N

NICE Actimize

NICE Actimize sells financial crime risk management to banks and financial institutions. Xceed, a cloud platform built for credit unions and community banks, unifies fraud prevention, anti money laundering and investigations, with AI agents that automate alert triage, backlog categorization and case summarization alongside analysts; the X Sight platform serves larger institutions with transaction monitoring, watchlist and sanctions screening, case management, know your customer and client lifecycle management, and SURVEIL X covers markets surveillance. The business is part of NICE, a listed company, and states more than 1,000 clients and more than 5 billion transactions monitored a day.

Last VerifiedOctober 2, 2026
Compare NICE Actimize with other vendors
Founded
—
Headquarters
Hoboken, New Jersey, United States
Categories
aml-kyc-financial-crime, fraud-and-transaction-risk, compliance-and-surveillance
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 6 graded A or B

AI Capability
AI Centrality
CC on AI CentralityArtificial intelligence is present but peripheral: a feature layer on a product whose value stands without it.
Vendor Published

A complete financial crime system, rules based monitoring, screening and case management, predates the models by two decades and would still meet the obligation without them. Machine learning detection, Xceed's AI agents and always on screening tuning add to that working system rather than constitute it.

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

Agents handle alert triage, backlog categorization and case summarization while analysts keep high priority work, a sensible line between preparation and judgment. Triage decides which alerts anyone sees, though, and no sampling or false negative check covers the ones an agent deprioritizes.

Model Risk Management and Transparency
BB on Model Risk Management and TransparencyReal transparency mechanisms are published, such as per alert explainability, confidence scoring or split testing, without the validation package or supervisory mapping behind them.
Vendor Published

Auditability is built in, which matters where senior officers must certify these systems, and screening AI is described in both error directions, fewer false positives and stronger true positive accuracy. Detection and false negative rates are unpublished, though the regulatory failure in monitoring is the alert never raised.

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

Y 12 Federal Credit Union cut account takeovers by 95 percent with Xceed, and DNB, Norway's largest financial services group, selected the X Sight Enterprise platform in June 2026 to modernize its fraud and financial crime operations. More than 1,000 clients, over 5 billion transactions monitored a day and $6 trillion protected daily are stated by a listed parent whose filings make overstatement a legal exposure.

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

Xceed's agents learn from analyst work, so investigator decisions at one institution can refine models, and the Actimize Insights Network moves intelligence between participants by design. What crosses, whether a contributor can opt out and whether refinement stays with its source are all left unanswered in public material.

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

Monitoring profiles counterparties and screened individuals with no relationship to the institution, on top of transaction activity and entity profiles for every customer. Product material carries no data protection agreement, retention schedule or deletion commitment.

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

Product pages name no certification or attestation for Actimize, and the parent's corporate Trust Center loads only interactively. Cybersecurity governance described in NICE's periodic filings is a mandated account, not a product attestation.

Regulatory Status and Licensure
BB on Regulatory Status and LicensureThe regulatory position is clearly stated and appropriate to the product, with part of the verification left to the buyer.
Vendor Published

How reports reach FinCEN is not stated, so presence inside the filing path is not shown. Suspicious activity report preparation, its Suspicious Transaction Activity Reporting and Currency Transaction Reporting modules, and the European Union's Instant Payments Regulation are named design targets.

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

A breakdown of match error by name origin or region is not published, and neither is a fairness evaluation of the fraud and money laundering models. That gap matters because watchlist matching errs unevenly by naming convention, transliteration and script, so false matches fall harder by national origin, and a wrongly matched customer can lose an account.

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

The ActOne case manager is described as fully transparent and auditable for audits and examinations, so an institution can reconstruct why an alert fired and defend or reverse it. A customer wrongly matched to a sanctions list is never told which system decided and cannot contest it, and no warranty on the finding is published.

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

Sanctions screening draws on global data sources and premium lists, but no list provider is named, so the data behind a sanctions match cannot be attributed. The model behind Xceed's agents is unnamed as well, while the Insights Network is NICE's own.

Core Systems and Integration Depth
AA on Core Systems and Integration DepthNamed integrations with the systems of record, core banking, policy administration, custodial or contact center platforms, verifiable in marketplace listings or public API documentation.
Vendor Published

Rails are where integration counts here: Xceed material addresses fraud detection on the Federal Reserve's FedNow Service, and payment screening parses ISO 20022 messages. Fraud and money laundering workflows share one platform with report preparation, though individual core banking or case systems are not listed. X Sight Marketplace adds more than 75 partner solutions beside Actimize's own products.

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

Cloud delivery of Xceed and X Sight comes with no published host, region or private deployment option. Transaction monitoring data faces localization rules in several markets where the platform is used.

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

Every route in is a contact request, with no module ladder or basis of charge published. Whether the AI agent tier comes inside Xceed or as a separate license is the commercial question for buyers from credit unions to global banks, and nothing answers it.

Institution and Segment Coverage
AA on Institution and Segment CoverageThe financial segments served are named and each carries its own maintained material, whether the coverage is broad or deliberately narrow.
Vendor Published

Size, geography and function each get their own material: Xceed for credit unions and community banks, the X Sight platform for large global institutions. Its product line runs from fraud and money laundering to markets surveillance through SURVEIL X.

Tracked Since Listing

What Changed

Material product, regulatory, evidence and commercial changes at NICE Actimize, 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.

Oct 8, 2026Security / compliance

NICE Actimize says its solutions have been independently certified to ISO/IEC 42001:2023, the international standard for AI management systems, with the certificate issued by SII-QCD. The stated scope covers the development, provisioning and deployment of its financial crime, risk and compliance software, and the post describes the practices behind it, including explainable and attributable agent decisions, defined agent boundaries with human oversight, full audit trails, and continuous monitoring with change controls.

Bears on: Security Certifications and Trust CenterSource
Our read on this change →Tracked since Oct 2026
Head to Head

Compared With

Most editorial comparisons pair two vendors the index assesses as direct competitors for the same buyer. Some pair vendors that are adjacent rather than rival, where the useful question is where one ends and the other begins. Each carries a verdict, the buyer conditions that favor each vendor, and a graded side by side.

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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 609 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 18, 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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