Fraud detection companies, products & suppliers

Scoring and blocking fraud across payments, accounts or identity events. Jobs: payment fraud; account takeover; application fraud.

What is Fraud detection?

Scoring and blocking fraud across payments, accounts or identity events. Jobs: payment fraud; account takeover; application fraud.

What problems does it solve?

Fraud patterns move faster than static rules.

Typical business use cases

  • Payment fraud
  • Account takeover
  • Application fraud

Important capabilities

  • Scoring
  • Rules plus ML
  • Case management

What buyers should evaluate

  • Explainability for declines
  • Bias
  • Appeal

Risks and governance considerations

Opaque declines that cannot be contested.

Procurement checklist

  • Appeal path
  • Feature list
  • Human review

Relevant AI Trustmark assurance

AI Trustmark independent findings appear only when an assessment or certificate exists. Category membership does not imply verification.

Methodology · How verification works

Companies and providers

Claimed suppliers appear first so buyers can start with listings the company has taken ownership of. Payment does not buy this order.

  • BioCatch

    Seamless and secure online experiences are built with BioCatch behavioral biometrics. We’re more than just fraud prevention. Our solution powers your digital growth. BioCatch publi

  • Callsign

    Callsign markets passive authentication, fraud prevention, and intelligence to make digital identity simpler and more secure. Callsign is used for Fraud detection work. Callsign is

  • Checkout.com

    Checkout.com provides payment processing with ML-powered acceptance optimisation and fraud controls for global enterprise merchants. Checkout.com publishes Checkout.com Intelligent

  • DataVisor

    DataVisor delivers a powerful fraud and risk management platform that enables organizations to respond to fraud attacks in real time. DataVisor publishes DataVisor Fraud & Risk Pla

  • Featurespace

    Featurespace is a Cambridge-headquartered company selling Adaptive Behavioral Analytics for fraud and financial-crime detection. Public marketing covers real-time payment and banki

  • Feedzai

    Stop financial crime before it happens. Feedzai's AI-powered platform detects and prevents fraud, money laundering, and other risks across all channels. Feedzai publishes Feedzai R

  • FICO

    FICO publishes FICO Falcon Fraud Manager, FICO Xpress Optimization, and FICO Decision Modeler as named AI products. FICO is used for Optimisation and Decision intelligence work. FI

  • Forter

    AI powered fraud, abuse, and payment decisions — so your best customers feel less friction, and you leave no revenue behind. Forter publishes Forter Trust Platform as named AI prod

  • Jumio

    Accelerate customer onboarding, combat fraud, and ensure compliance with Jumio's industry-leading identity verification platform. Jumio publishes Jumio Authentication, Jumio selfie

  • Plaid

    Plaid provides financial connectivity APIs with risk/fraud signals increasingly powered by ML for fintechs. Plaid publishes Plaid Signal / AI risk as named AI products. Plaid is us

  • Ravelin

    Ravelin provides machine-learning fraud prevention and payment risk solutions that adapt to merchant risk appetite. Ravelin publishes Ravelin Fraud Prevention as named AI products.

  • Sardine

    The top agentic risk platform used by leading banks and merchants worldwide to stop fraud in real-time, prevent AI-driven attacks, automate fraud & AML operations. Sardine is used

  • SEON

    SEON's fraud prevention platform unifies real-time detection and AML in one place. Built on 1,100+ first-party signals, with 14 days implementation average. SEON publishes SEON Fra

  • Sift

    Sift's fraud prevention platform stops payment fraud and account takeover in real time - with transparent workflows, global data and expert analysts. Sift publishes Sift Digit

  • Stripe

    Stripe provides payments infrastructure with ML-powered fraud (Radar) and increasingly AI features across billing and support tools. Public marketing also emphasises payments netwo

Products

Claimed products appear first. Ranking packs and payment do not change this list.

Also used in this category

These products have a different primary category so they do not compete for the same ranking queries. They are listed here because buyers still encounter them in this job.

Related categories

Relevant procurement and assurance guides

Frequently asked questions

What is Fraud detection?

Scoring and blocking fraud across payments, accounts or identity events. Jobs: payment fraud; account takeover; application fraud.

What should not be listed as Fraud detection?

Products whose buyer job is KYC verification, biometrics, or generic anomaly detection. Those belong on their own category page so search queries are not split.

Has AI Trustmark independently assessed every Fraud detection supplier?

No. A category listing is descriptive. Independent assessment is shown only on company or product pages that carry Trustmark evidence.

What model or provider changes should a buyer insist on being told about?

Material change usually includes a new model family, new region, new subprocessor, new write-capable tool, or a change that affects logging, privacy or human oversight. Those changes should trigger evidence refresh rather than a silent release.

How should buyers verify where AI customer data is processed?

Ask for the named processing locations, cloud regions and any subprocessors that see prompts, files or outputs. A directory listing is not evidence of residency. Independent assessment records the locations that were in scope on the assessment date.

Does a TrustMark on one product cover the rest of the company?

No. Independent assessment is scoped to the named organisation and, where relevant, the named product. Category pages list suppliers as a topic label. They do not imply that every listed company has been assessed.

What incident-handling evidence is useful for AI suppliers?

Buyers should see how AI-specific failures are detected, contained and notified — including unsafe outputs, data leakage and unauthorised agent actions. An incident policy that never mentions models, prompts or tools is incomplete for this class of product.

What security testing evidence should buyers request for an AI product?

Ask what was tested, against which version, whether prompt-injection, data-exfiltration and tenant isolation were in scope, and where failed prompts were stored. A generic ISO certificate or a vendor scanner screenshot is not by itself an AI TrustMark assessment.