BioCatch

What it does

BioCatch is an AI-native behavioral biometrics platform that analyzes how users interact with digital banking and financial applications - mouse movements, typing cadence, scrolling patterns, touch pressure, device handling - to build a behavioral profile and detect anomalies indicating fraud. Unlike static authentication that verifies identity at login, BioCatch monitors behavior continuously throughout a session, detecting account takeover in real time (when a fraudster takes control mid-session), mule accounts opened by organized crime rings, and social engineering attacks where a legitimate user is manipulated by a scammer while still logged in. The platform operates invisibly without adding friction to legitimate customers - AI making risk decisions in the background from behavioral signals.

Strengths

• Global banks, fintech platforms, and payment companies use BioCatch for continuous session-level fraud detection - AI behavioral biometrics catching account takeover and social engineering fraud that traditional authentication cannot detect.
• BioCatch is an AI-native behavioral biometrics platform that analyzes how users interact with digital banking and financial applications - mouse movements, typing cadence, scrolling patterns, touch pressure, device handling - to build a behavioral profile and detect anomalies indicating fraud.
• Unlike static authentication that verifies identity at login, BioCatch monitors behavior continuously throughout a session, detecting account takeover in real time (when a fraudster takes control mid-session), mule accounts opened by organized crime rings, and social engineering attacks where a legitimate user is manipulated by a scammer while still logged in.

Watch-outs

• Requires sufficient session data to build profiles: BioCatch's behavioral models need data to learn normal patterns per user — new accounts and infrequent users have less behavioral history, reducing the signal quality available for fraud detection early in the account lifecycle.
• Enterprise banking focus limits applicability: BioCatch is designed for digital banking and financial applications with rich user interaction sessions — simpler apps, short sessions, or non-financial use cases provide insufficient behavioral signal for the platform to operate effectively.
• Model transparency for regulatory review: Behavioral biometric AI models used for financial fraud decisions face increasing regulatory scrutiny around explainability and bias — financial institutions must assess regulatory requirements in their jurisdictions before deployment.

Pricing

BioCatch enterprise pricing not published. Contracts based on number of protected sessions per month and integration scope. Large bank deployments run millions annually. Annual contracts.