Behavioral biometrics and device intelligence for bank fraud prevention
BioCatch applies machine-learning models to user behavior and device signals so banks can separate fraudsters from legitimate customers in digital channels. A multi-cloud footprint (AWS, Azure, GCP) on Kubernetes and Terraform, plus Rust and React Native, points to client-side SDKs embedded in bank apps. Accelerating, sales-heavy hiring across a dozen countries, including Saudi Arabia, Peru and the Philippines, signals an aggressive international expansion push.
Notable leadership hires: Sales Account Director
BioCatch, founded in 2011 and headquartered in New York, builds fraud and financial-crime prevention technology for banks and other financial institutions. Its platform captures anonymized behavioral signals such as typing, mouse movement, touch interaction and device attributes during online and mobile banking sessions. Machine-learning models then analyze those signals to flag risky activity, support continuous authentication and detect threats like malware and remote-access attacks. The privately held company employs 201–500 people and serves financial institutions worldwide.
BioCatch runs Python, TypeScript, Rust and FastAPI on AWS, Azure and GCP, with Kubernetes, Docker and Terraform. Data runs through Snowflake, Airflow and PostgreSQL, and monitoring uses Datadog, Prometheus, Grafana and Coralogix.
Yes. Hiring is accelerating and leans toward sales and senior or director-level roles, including a Sales Account Director. Engineering and security roles are also open.
BioCatch hires in the United States, Germany, Israel, Saudi Arabia, India, the United Kingdom, France, Italy, Peru, Australia and the Philippines.
Other companies in the same industry, closest in size
BioCatch's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.