Best Fraud Detection Software in 2026

Feedzai was founded by engineers who had worked at the European Space Agency and builds AI-based fraud and financial crime software for banks, payment processors and acquirers. The company says about one billion consumers are protected by its software, which processes 140 billion events and $19 trillion in payments a year.

Its RiskOps platform brings fraud prevention, identity verification and anti-money-laundering compliance together across the customer lifecycle: secure onboarding, transaction fraud detection, scam prevention, AML transaction monitoring and watchlist screening. Feedzai IQ provides network intelligence and an IQ Score drawn from data shared across its customer base, and products for acquirers address merchant risk. Farol, an agentic AI component, is described as an always-on agent that investigates alerts and acts on them.

Feedzai cites results from a tier-one bank of 62% more fraud detected, 73% fewer false positives and 25 times faster model deployment, figures that are the company's own. Its software is aimed at large financial institutions, and it does not publish pricing.

NICE Actimize sells financial crime software to banks, with products for anti-money laundering, enterprise fraud management, financial markets compliance, investigation and case management, and KYC and client lifecycle management. Its platforms are X-Sight and Xceed.

Its flagship fraud product is Integrated Fraud Management (IFM), which the company describes as applying AI across detection, strategy and investigations, using hyper-granular customer profiles and collective industry intelligence. IFM aims to minimise loss exposure, speed up claim resolution and support regulatory compliance in real time. An authentication management module manages customer authentication across channels and lets teams define fraud strategy in real time.

For community and regional institutions, NICE Actimize sells Xceed, a real-time fraud detection and prevention product for small and mid-sized banks. The company's breadth across fraud, AML and markets surveillance makes it a common choice for tier-one banks consolidating financial crime functions; its systems typically require substantial implementation projects. Pricing is not published.

SAS Fraud Decisioning is the fraud detection and prevention product of SAS Institute, the analytics software company, and runs on its SAS Viya platform. It is designed for financial institutions to detect, prevent and investigate fraud in real time across the customer lifecycle.

The product combines AI, machine learning, predictive analytics, real-time decisioning and data orchestration to identify suspicious activity, respond to threats as they emerge and avoid disrupting legitimate customer interactions. Because it sits on the same platform as SAS's wider analytics and model-management tools, banks can build, validate and deploy their own fraud models alongside SAS-supplied ones, a point of difference from vendors that offer mainly consortium models.

SAS's heritage is in statistical software used by bank analytics teams, so the product suits institutions with in-house data science capacity. SAS offers a free trial of Viya, but fraud product pricing is quoted.

Featurespace was founded in 2008 and is headquartered in Cambridge, UK. Visa completed its acquisition of the company on 19 December 2024, and Featurespace became part of Visa's Risk and Identity Solutions business unit. At the time of the acquisition it had more than 400 staff in six locations.

Featurespace develops real-time AI payments protection technology for fraud and financial crime prevention. According to Visa, it works with many of the world's largest banks and financial institutions and with more than 100,000 businesses, protecting 500 million consumers; named clients include HSBC, NatWest, TSYS, Worldpay, Danske Bank, Akbank and Edenred.

Ownership by Visa gives access to network-level data, but some banks and processors that compete with Visa's other services may weigh vendor independence when choosing a supplier. Pricing is not published.

ThreatMetrix is the digital identity and device intelligence product of LexisNexis Risk Solutions. It combines real-time data sources with AI-driven models to analyse fraud patterns and return risk decisions in real time during logins, account openings and payments.

Its core asset is the LexisNexis Digital Identity Network, which the company describes as one of the world's largest and most diverse digital intelligence networks: participating organisations share real-time digital identity intelligence and fraud feedback, which helps distinguish trustworthy returning users from risky ones. Device fingerprinting, behavioural signals and the history of an identity's associations across the network feed each risk score.

ThreatMetrix acts as a risk-signal layer in front of an organisation's other fraud controls rather than as a complete case-management system. Pricing is not published.

BioCatch was co-founded in 2011 by Avi Turgeman and Benny Rosenbaum and spent five years on research before deploying its account takeover product at tier-one banks in the UK, Spain and Brazil in 2016. Bain Capital led a growth round in 2019–2020; Permira made an initial investment in 2022 and became majority shareholder in 2024 by buying out earlier investors.

BioCatch analyses how users interact with devices, such as typing rhythm, mouse movement and touch patterns, to distinguish genuine customers from fraudsters, bots and victims being coached by scammers. Its BioCatch Connect platform unites real-time telemetry, behavioural analysis and predictive models. Solutions cover account opening protection, account takeover protection, mule account detection, social engineering scams through Scams360, device intelligence through DeviceIQ, and strong customer authentication.

BioCatch Trust is a network that shares intelligence among participating banks. Its strength is detecting authorised push-payment scams, where the real customer logs in and transfers money under instruction; other systems that rely on credentials or device recognition often see such sessions as legitimate. Pricing is not published.

Sift has been fighting online fraud since 2011 and says it scores more than one trillion events a year from over 34,000 sites and apps in its global data network. It reports more than 700 customers, including DoorDash, Yelp and Poshmark, and holds more than 40 US patents granted or allowed. Its investors include Insight Partners, Union Square Ventures, Spark Capital and Stripes, and its chief executive is Marc Friend.

Sift's platform addresses payment fraud, account takeover and fake account creation through products named Payment Protection and Account Defense, with a Sift Score API for developers. A newer Fraud Attack Defense Suite adds AI agents to investigate and respond to attacks. The product serves B2B and B2C software, ecommerce, iGaming, travel, food delivery and fintech businesses.

Because Sift sees activity across tens of thousands of sites, a fraudster identified on one platform can be scored as risky on another. Sift also runs a professional community, the Sifters, with more than 1,500 fraud professionals. Pricing is not published.

SEON was founded in January 2017 and opened offices in London and Budapest in 2020, Austin in 2021, Jakarta in 2021 and Singapore in 2025. Series A funding was led by Creandum in 2021 and Series B by IVP in 2022, and the company announced an $80 million Series C round. It says it protects more than 5,000 businesses and has prevented more than $300 billion in fraud losses, with more than 400 staff.

SEON's fraud prevention products include digital footprint analysis, device intelligence, behavioural biometrics and AI agent and bot detection. Its platform covers fraud prevention, identity verification with liveness detection and address checks, workflow orchestration and AML compliance with customer screening, payment screening and transaction monitoring. Use cases include account takeover, bonus abuse and transaction fraud.

Unlike most vendors in this list, SEON publishes an entry price. The Starter plan is designed for small and mid-sized businesses, with limits on monthly checks, users and custom rules; Premium is custom-priced with unlimited checks, case management and AML, managed risk services and 24/7 support.

Radar is Stripe's fraud prevention product. Stripe says its models are trained on data from millions of businesses and more than 70 trillion data points across the Stripe network, and that Radar automatically blocks fraudulent payments, flags suspicious accounts and prevents customer abuse in real time.

Radar Lite, which covers AI-based protection for card payments and card testing, together with fraud alerts, is included at no extra charge for businesses on Stripe's standard payments pricing. Paid tiers add further fraud tooling, and enterprise plans can also protect payments that are not processed on Stripe.

Radar's main advantage is zero integration for Stripe merchants: it scores every payment automatically. The main limitation is scope. It is designed around payments, so organisations with complex account-opening, AML or multi-processor needs usually add a specialist vendor. Stripe reports that Radar was named in a 2026 Forrester Wave report.

Sardine describes itself as an agentic risk platform used by banks, merchants and fintechs to stop fraud in real time, prevent AI-driven attacks and automate fraud and AML operations. It unifies fraud prevention, AML compliance and real-time transaction monitoring in one modular platform.

Modules include global KYC and KYB verification of individuals, businesses and beneficial owners, document authenticity checks, bank account verification, credit underwriting models, transaction monitoring for money laundering and money-mule activity, customer risk rating for due diligence and sanctions screening.

Sardine's distinguishing feature is its set of AI agents, including an OSINT search agent, a data analyst agent, a rule assistant, a transaction monitoring agent and a business due-diligence agent, which can be run against alert queues from one command centre. The company positions this as reducing average investigation time from days to minutes, a claim it makes for its own customers. Pricing is not published.

Signifyd was founded by Mike Liberty and Raj Ramanand after they left PayPal, starting in a co-working space in Palo Alto; Rajesh Ramanand is co-founder and chief executive. The company is headquartered in San Jose, California, with offices in Denver, New York, Mexico City, São Paulo, Belfast, London and Budapest, and says it protects thousands of online stores in more than 100 countries.

Signifyd's distinctive model is a 100% financial guarantee against fraud and consumer abuse: when it approves an order that turns out to be fraudulent, it covers the loss. Products include Session Intelligence, Account Integrity, Purchase Optimization (authorisation rate optimisation, guaranteed fraud protection, chargeback recovery and complete chargeback protection) and Returns Assurance. Named customers include Samsung, Lenovo, Lowe's and Walmart.

The company cites Juniper Research figures showing global ecommerce fraud losses growing from $44 billion in 2024 to a forecast $107 billion in 2029. The guarantee model shifts risk to the vendor, but merchants pay for it in the fee, and the vendor decides which orders to approve.

Forter was started by childhood friends Michael and Liron, Israelis working in the United States who had previously worked at a manual fraud review company later acquired by PayPal. Having seen PayPal improve fraud detection by replacing rules with AI models, they built Forter as a fully automated platform that decides on every digital commerce interaction. The company has offices in New York, Denver and Tel Aviv.

Forter calls its approach identity intelligence: rather than judging a transaction in isolation, it evaluates whether the person behind it is trustworthy across account creation, logins, payments, returns and promotions. Its products include Fraud Management, aimed at increasing approvals and reducing chargebacks, and Payment Optimization, which aims to reduce friction while maintaining PSD2 compliance; Forter Element is a version for payment service providers to offer to their own merchants.

Forter targets large online retailers and marketplaces, and runs an annual conference, IMPACT, for digital commerce leaders. Pricing is not published.