BioCatch offers a behavioral‑biometrics platform that continuously captures over 3,000 behavioral and device signals to generate real‑time risk scores for account‑opening fraud, account takeover, mule activity, and social‑engineering scams. Its cloud‑hosted analytics engine and investigative dashboard integrate with banks’ and fintechs’ fraud‑management and authentication workflows, delivering sub‑second decisions while maintaining a frictionless user experience.
Funding
$70M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional fraud defenses in digital banking rely on static rules and machine‑generated signals that focus on devices rather than human behavior. This makes it difficult to detect sophisticated threats such as account takeover, social‑engineering scams, mule activity, and fraudulent account openings.
Solution
BioCatch delivers a behavioral‑biometrics platform that continuously captures more than 3,000 behavioral and device signals from every user interaction. By sequencing these signals into a behavioral profile, the system generates real‑time risk scores that identify coercion, manipulation, and mule behavior with high precision. The platform supports specific use cases—including account‑opening protection, account‑takeover detection, social‑engineering scam detection, mule account detection, and strong customer authentication—through a cloud‑hosted analytics engine and an investigative dashboard (BioCatch Connect). This enables banks and fintechs to block advanced fraud attempts while preserving a frictionless digital experience for legitimate customers.
Target Audience
Primary customers are banks, credit unions, and fintech platforms that need to protect digital channels against advanced fraud and financial crime while maintaining a smooth user experience.
Features
- Continuous telemetry collection across web, mobile, and API channels, aggregating over 16 billion sessions and 3 k+ behavioral signals per session.
- Behavioral sequencing and machine‑learning models that produce real‑time fraud risk scores for account opening, takeover, mule activity, and social‑engineering scams.
- Device fingerprinting and contextual data (application, transaction patterns) to enrich behavioral analysis.
- BioCatch Connect visual analytics and investigative tooling for forensic case review and threat hunting.
- Integration APIs for seamless embedding into existing fraud‑management, AML, and strong customer authentication workflows.
- Scalable cloud architecture delivering sub‑second decisioning for high‑volume digital banking environments.
- Compliance‑ready data handling with encryption and role‑based access controls.