# Best AI Fraud Detection Software for Banks (2026): Compared

Source: https://www.bankingnewsai.com/ai-tools/fraud-detection
Last updated: Sep 24, 2026

## What should a bank look for in AI fraud detection software?

AI fraud-detection software scores events as they happen, such as a card payment, a login, a new-account application, a wire or a phone call, and returns a risk score or a decision within milliseconds. Banks buy it as a hosted platform priced by volume and licence, connect it to their payment and digital channels, and tune rules and models on their own data. The questions that separate vendors are latency, the data network behind the models, scam coverage, explainability for analysts, and how the vendor supports model validation.

## Buyer criteria

Observations, not advice.

### Coverage of the fraud types you actually lose money to

Card-not-present, account takeover, new-account and synthetic identity, authorised push-payment and scam, check and wire fraud need different signals. A vendor strong on card scoring may have little for scams where the customer is tricked into sending money.

### Latency and where the model runs

Payment authorisation leaves tens of milliseconds for a decision. Ask for the vendor's measured response time at your volume and whether scoring runs in its cloud, in yours or on premises.

### The data behind the model

Consortium or network data (device, behavioural or cross-bank signals) can catch fraud a single bank's history cannot. Ask what data leaves the bank, how it is pooled and what rights the vendor keeps.

### False positives, not only detection

Declined good customers and analyst workload are the cost of a fraud model. Vendor-reported detection gains are usually measured against a customer's prior system; ask for the false-positive ratio and the baseline behind any percentage.

### Explainability and case management

Analysts need the reasons behind a score to work an alert, and model-risk teams need documentation to validate it. Check what the vendor provides for both, and whether you can export decisions and features.

### Pricing that tracks your volume

Most fraud platforms are sold on annual licences tied to transaction or account volume, with implementation fees; published price lists are rare. Model the cost at next year's volume, not this year's.

## Which rules apply to a bank using AI fraud detection software?

| Rule | Why it applies | Documents |
| --- | --- | --- |
| Model risk management (SR 26-2 / OCC 2026-13 / FIL-15-2026) | Fraud models are models under the April 2026 interagency guidance; a bank above $30 billion in assets is expected to inventory, validate and monitor them, including vendor models. Generative and agentic AI are outside its scope. | [SR 26-2](https://www.bankingnewsai.com/ai-regulation/documents/fed-sr-26-2), [OCC Bulletin 2026-13](https://www.bankingnewsai.com/ai-regulation/documents/occ-bulletin-2026-13), [FDIC FIL-15-2026](https://www.bankingnewsai.com/ai-regulation/documents/fdic-fil-15-2026) |
| Third-party risk management | Buying a fraud platform is a third-party relationship: due diligence, contract terms, ongoing monitoring and exit planning under the 2023 interagency guidance. | [OCC Bulletin 2023-17](https://www.bankingnewsai.com/ai-regulation/documents/occ-bulletin-2023-17), [SR 23-4](https://www.bankingnewsai.com/ai-regulation/documents/fed-sr-23-4), [FDIC FIL-29-2023](https://www.bankingnewsai.com/ai-regulation/documents/fdic-fil-29-2023) |
| Deepfake and synthetic-identity fraud | FinCEN's 2024 alert lists red flags for generative-AI identity documents, images and audio used to open accounts, and asks for a specific SAR key term; identity and voice vendors are bought against exactly these threats. | [FIN-2024-Alert004 (Deepfake Media)](https://www.bankingnewsai.com/ai-regulation/documents/fincen-alert-2024-deepfake-media) |
| Adverse action where fraud models decide credit | When a fraud or identity score contributes to declining a credit application, the ECOA/Regulation B and FCRA notice duties apply to that decision. | [ECOA / Regulation B adverse action (15 U.S.C. 1691(d); 12 CFR 1002.9)](https://www.bankingnewsai.com/ai-regulation/documents/cfpb-ecoa-regulation-b-adverse-action), [FCRA adverse action and credit-score disclosures (15 U.S.C. 1681m, 1681g(f))](https://www.bankingnewsai.com/ai-regulation/documents/cfpb-fcra-adverse-action-key-factors) |
| EU AI Act fraud carve-out | For banks operating in the EU, AI used solely to detect financial fraud is excluded from the Act's high-risk credit-scoring category, unlike credit models. | [Regulation (EU) 2024/1689](https://www.bankingnewsai.com/ai-regulation/documents/eu-ai-act-regulation-2024-1689) |

## How do the AI fraud detection vendors compare?

| Vendor | What it does | Deployment | Pricing model | Published price | Banks among the 100 | Founded · ownership |
| --- | --- | --- | --- | --- | --- | --- |
| [Feedzai](https://www.bankingnewsai.com/vendors/feedzai) | RiskOps platform for bank fraud, scam and AML prevention: transaction scoring, behavioral biometrics and network intelligence. | SaaS (cloud-based); Feedzai IQ Score is also delivered via a single API and listed on AWS Marketplace | Sales-led enterprise licensing, scoped per institution and use case (fraud, AML, onboarding, scam prevention); Feedzai IQ Score is also sold as an API-metered add-on listed on AWS Marketplace | Not published | 2 | 2011 · Private |
| [Featurespace](https://www.bankingnewsai.com/vendors/featurespace) | Real-time behavioral fraud and AML scoring for banks and processors (The Featurespace Platform, formerly ARIC Risk Hub); a Visa unit. | Hosted cloud or on-premises; Visa A2A Protect is delivered through a single API | Sales-led enterprise licensing, sold as a Visa solution; A2A Protect is offered to financial institutions via a single API | Not published | 1 | 2008 · Acquired by Visa |
| [BioCatch](https://www.bankingnewsai.com/vendors/biocatch) | Behavioral-biometric and device intelligence that scores digital banking sessions for account takeover, scams, mules and application fraud. | SaaS; collected through BioCatch's Align SDK in the bank's web and mobile apps, and available through Q2, Alkami and Alloy integrations | Sales-led enterprise licensing per institution, plus distribution through digital-banking and onboarding platform partners (Q2, Alkami, Alloy); no figures disclosed. | Not published | 3 | 2011 · Private |
| [Sardine](https://www.bankingnewsai.com/vendors/sardine) | Fraud and AML platform: device and behavioral signals, transaction monitoring, sanctions screening and AI agents for alert review. | SaaS, integrated through APIs and a client-side device and behavior SDK | Sales-led enterprise contracts; Sardine describes usage-based pricing for its custom agents | Not published | 0 | 2020 · Private |
| [Socure](https://www.bankingnewsai.com/vendors/socure) | Identity verification, fraud scoring and watchlist screening for account opening and login, run on its RiskOS decisioning platform. | API (cloud); self-serve Socure Launch or configurable Socure Enterprise on the RiskOS platform (Direct API, hosted UI, SDKs) | Per-evaluation self-serve pricing (Socure Launch) with $1,000 of free monthly credits; usage-based enterprise contracts with volume discounts (Socure Enterprise / RiskOS) | $1.00 per evaluation ($1,000 of free monthly credits) (Socure Launch (self-serve bundles) — KYC + Fraud + Watchlist, DocV Step up) | 4 | 2012 · Private |
| [Alloy](https://www.bankingnewsai.com/vendors/alloy) | Identity and fraud prevention platform: onboarding KYC/KYB, fraud and login risk scoring, AML monitoring and data orchestration. | SaaS (single API, SDK and no-code dashboard; hosted on AWS) | Sales-led enterprise platform contracts; bought through a demo and quote process | Not published | 3 | 2015 · Private |
| [Pindrop](https://www.bankingnewsai.com/vendors/pindrop) | Phone-channel fraud scoring, passive caller authentication and voice deepfake detection for bank contact centers. | SaaS (cloud), integrated with contact-center platforms such as NiCE CXone and Zoom Contact Center; also sold through AWS Marketplace and FICO Marketplace | 12-month contract licences per product sized by call volume (up to 1,000,000 calls per unit) or by meeting users, with per-unit charges for additional usage; custom and private offers through sales | $250,000 per 12-month contract, licence for up to 1,000,000 calls; additional usage $0.30 per unit (Pindrop Anti-Fraud and Authentication Platform, Pindrop's own AWS Marketplace listing — Anti Fraud) | 2 | 2011 · Private and venture-backed: a $75 million Series C led by Google Capital |
| [NICE Actimize](https://www.bankingnewsai.com/vendors/nice-actimize) | Fraud, AML, sanctions screening, KYC, case management and trade surveillance software for banks, on X-Sight and Xceed platforms. | SaaS (X-Sight and Xceed cloud platforms) or on-premises under term licences | Sales-led enterprise contracts: cloud subscriptions with transaction- or usage-based fees, or on-premises term licences, plus professional services | Not published | 4 | 1999 · Business unit of NICE Ltd |
| [Hawk](https://www.bankingnewsai.com/vendors/hawk) | AML transaction monitoring, sanctions and customer screening, fraud prevention and AI investigation agents for banks and payment firms. | SaaS (multi-tenant, multi-cloud) or private cloud | Sales-led enterprise SaaS contracts; modules (AML, screening, fraud) sold separately or together under one contract | Not published | 0 | 2018 · Private |
| [Unit21](https://www.bankingnewsai.com/vendors/unit21) | Fraud and AML platform: transaction monitoring, screening, case management and SAR filing, with AI agents that run alert investigations. | SaaS (cloud-based), accessed through Unit21's API and dashboard | Sales-led annual plans for Fraud or AML, plus implementation and support options (Standard or Gold support, Solutions Architect add-on) | Not published | 1 | 2018 · Private and venture-backed |
| [Zest AI](https://www.bankingnewsai.com/vendors/zest-ai) | AI credit underwriting for banks and credit unions, plus fraud detection (Zest Protect) and gen-AI lending intelligence (LuLu). | SaaS | Sales-led, per-lender enterprise contracts; not published. | Not published | 2 | 2009 · Private |
| [Provenir](https://www.bankingnewsai.com/vendors/provenir) | Cloud decisioning platform for credit risk, fraud and identity, with a data marketplace, case management and AI models. | SaaS (cloud-native; API-first, real-time and batch) | Sales-led enterprise software licence (SaaS); not published. | Not published | 1 | 2004 · Private |
| [FICO](https://www.bankingnewsai.com/vendors/fico) | FICO Platform decisioning and analytics software for origination, account management and fraud (Falcon), plus the FICO Score. | SaaS or on-premises | Software: multi-year subscriptions priced on usage (accounts, transactions or decision use cases), often with contracted minimums; not published. FICO Score for mortgages: published per-score and funded-loan fees | Not published (prices shown for FICO Score for mortgage, Mortgage Direct License Program (not the FICO Platform) on the vendor page) | 2 | 1956 · NYSE: FICO |

Bank counts are banks among the 100 largest US banks on this site named as customers, each sourced on the vendor page. Prices are shown only where the vendor publishes them for the AI product itself; a price for another product is listed on the vendor's page, not here.

## FAQ

### How much does AI fraud-detection software cost a bank?

Most vendors do not publish prices. Enterprise fraud platforms are sold on annual licences scaled to transaction, account or API-call volume, plus implementation. Where a price is public it is on the vendor's own pricing page and is listed in the comparison table above with its date; otherwise the table says 'Not published'.

### Is a fraud model subject to model risk management rules?

Yes. The April 2026 interagency guidance (Fed SR 26-2, OCC Bulletin 2026-13, FDIC FIL-15-2026) covers quantitative models used in decisions, including vendor fraud models; it is expected to matter most for banks above $30 billion in assets and leaves generative and agentic AI outside its scope.

### What is the difference between fraud detection and AML software?

Fraud detection protects the bank and its customers from losses in real time, usually before a payment completes. AML software monitors activity after the fact for money laundering and sanctions exposure, and feeds suspicious activity reports. Several vendors now sell both on one platform, which the industry calls FRAML.

### Which AI fraud detection vendors are compared here?

Feedzai (RiskOps platform for bank fraud, scam and AML prevention: transaction scoring, behavioral biometrics and network intelligence); Featurespace (Real-time behavioral fraud and AML scoring for banks and processors (The Featurespace Platform, formerly ARIC Risk Hub); a Visa unit); BioCatch (Behavioral-biometric and device intelligence that scores digital banking sessions for account takeover, scams, mules and application fraud); Sardine (Fraud and AML platform: device and behavioral signals, transaction monitoring, sanctions screening and AI agents for alert review); Socure (Identity verification, fraud scoring and watchlist screening for account opening and login, run on its RiskOS decisioning platform); Alloy (Identity and fraud prevention platform: onboarding KYC/KYB, fraud and login risk scoring, AML monitoring and data orchestration); Pindrop (Phone-channel fraud scoring, passive caller authentication and voice deepfake detection for bank contact centers); NICE Actimize (Fraud, AML, sanctions screening, KYC, case management and trade surveillance software for banks, on X-Sight and Xceed platforms); Hawk (AML transaction monitoring, sanctions and customer screening, fraud prevention and AI investigation agents for banks and payment firms); Unit21 (Fraud and AML platform: transaction monitoring, screening, case management and SAR filing, with AI agents that run alert investigations); Zest AI (AI credit underwriting for banks and credit unions, plus fraud detection (Zest Protect) and gen-AI lending intelligence (LuLu)); Provenir (Cloud decisioning platform for credit risk, fraud and identity, with a data marketplace, case management and AI models); FICO (FICO Platform decisioning and analytics software for origination, account management and fraud (Falcon), plus the FICO Score). More vendors in this category are being added as their pages are researched and sourced.

Other categories: [AML compliance](https://www.bankingnewsai.com/ai-tools/aml-compliance) · [Credit decisioning](https://www.bankingnewsai.com/ai-tools/credit-decisioning) · [Conversational AI](https://www.bankingnewsai.com/ai-tools/conversational-ai) · [Document AI](https://www.bankingnewsai.com/ai-tools/document-ai) · [Enterprise AI assistants](https://www.bankingnewsai.com/ai-tools/enterprise-ai-assistants) · [Model risk and AI governance](https://www.bankingnewsai.com/ai-tools/model-risk-governance) · [Banking platforms](https://www.bankingnewsai.com/ai-tools/banking-platforms) · [all AI tools for banks](https://www.bankingnewsai.com/ai-tools)

---

Canonical page: https://www.bankingnewsai.com/ai-tools/fraud-detection
Part of [BankingNewsAI](https://www.bankingnewsai.com/) — a free daily brief on AI in banking, an AI regulation tracker (19 authorities, 167 documents) and AI-strategy profiles of the 100 largest US banks. Markdown versions of every reference page: append `.md` to the page URL; index at https://www.bankingnewsai.com/llms.txt.