BioCatch

BioCatch is a cybersecurity company that provides behavioral biometrics and related analytics to help financial institutions detect and prevent digital fraud.

• Behavioral biometrics for detecting anomalous user interactions in online and mobile channels.
• Fraud detection and prevention solutions for account opening, account takeover, and social engineering scams (fraud analytics).
• Continuous risk assessment using Machine Learning (ML) models trained on user behavior patterns (behavioral analytics).
• Integration with banking and payment workflows via APIs and fraud management platforms (security integration).
• Support for regulatory compliance and risk operations through alerts, case data, and investigative tooling (fraud operations support).

More About BioCatch

BioCatch focuses on behavioral biometrics and fraud analytics for banks, payment providers, and other financial institutions that operate digital channels such as web and mobile banking. Its platform collects and analyzes how users interact with devices and applications, including patterns in mouse movements, keystrokes, touchscreen gestures, and session behavior. These interaction signals are used to differentiate genuine customers from fraudsters, bots, or users acting under coercion, and to support risk-based decisions in real time.

The company positions its offerings within the enterprise fraud management and cybersecurity stack, where they complement traditional controls such as device fingerprinting, credential checks, and transaction monitoring. Behavioral biometrics (identity and access management) adds an additional layer based on “how” a user behaves rather than “what” they know or “what” they possess. Financial institutions typically deploy BioCatch through Application Programming Interface (API) integrations with online banking front ends, mobile apps, and existing fraud management systems, allowing behavioral risk scores and alerts to feed into existing decision engines and case management workflows.

BioCatch applies ML (AI and analytics) to build behavioral profiles over time for each user or account, as well as population-level models that can identify fraud patterns such as account takeover, remote access tool usage, or social engineering. These models use features derived from timing, pressure, navigation patterns, and other interaction metrics. The platform evaluates sessions continuously, providing risk assessments during login, navigation, and payment initiation, which can trigger step-up authentication, session blocking, or manual review according to institution policies.

From an architectural perspective, BioCatch operates as a cloud-based analytics service (security Software-as-a-Service (SaaS)) that integrates with client applications via SDKs and JavaScript tags for data collection, plus APIs or connectors for risk scoring and alert delivery. The system is designed to work within regulated environments, supporting data handling and security practices aligned with financial sector requirements. It is used in areas such as new account opening fraud checks, ongoing account protection, and scam detection, including social engineering scenarios where customers are manipulated but still appear to authenticate correctly.

In marketplace and directory terms, BioCatch fits into categories such as behavioral biometrics (identity and access management), online fraud detection (fraud and risk analytics), and transaction risk analysis for digital banking. Its focus on financial services and enterprise-scale deployments means its technology is typically evaluated alongside other fraud and risk tools, authentication controls, and customer security solutions in large institutions.