BioCatch unveils Connect 2.0 to fight AI-driven bank fraud

By Vriti Gothi

BioCatch has launched Connect 2.0, an upgrade to its digital fraud- and financial crime-detection platform, as banks worldwide face increasingly sophisticated attacks accelerated by generative and agentic AI. The new version introduces an expanded multi-signal telemetry engine and enhanced network-visualisation tools designed to help financial institutions detect and prevent complex criminal activity in real time.

The rollout comes as the sector contends with a surge in scams, account takeovers, money-muling networks, and AI-enabled impersonation techniques. Many institutions are under pressure to strengthen defences while managing constrained technology budgets, a backdrop that is driving interest in consolidated fraud-risk platforms.

“Fraud, scams, and financial crimes are only growing more complex, diverse, and interconnected,” said BioCatch CEO Gadi Mazor. He added that banks require protection against “an ever-expanding suite of AI tools” used by attackers, without adding strain to internal operations. According to Mazor, Connect 2.0 is positioned as a single platform implementation capable of covering a broad range of risks.

The upgrade introduces two flagship components:

BioCatch Align. The unified SDK now collects more than 3,000 behavioural, device, network, transactional, and application signals, forming the backbone of Connect 2.0. These inputs are processed through the firm’s Continuous Behavioural Sequencing technology to identify coordinated behavioural patterns rather than isolated anomalies. The company reports the system analyses over 16 billion user sessions monthly and protects more than 555 million individuals across 1.6 billion devices.

BioCatch Link. Previously known as Scout, this module maps relationships between users, devices, and payments to uncover fraud clusters and potential money-laundering networks. The company says the capability supports the regulatory shift toward proactive financial-crime prevention and aims to reduce operational silos between fraud and AML teams.

Additional enhancements include upgraded malware-detection models, improved remote-access threat identification using deep-learning techniques, and new mechanisms to detect and differentiate agentic-AI-driven activity from human behaviour. BioCatch says these upgrades enable earlier detection of AI-powered transactions while still allowing banks to permit legitimate automated activity.

“Align is designed as a one-stop shop for protecting against all forms of digital banking fraud and financial crimes,” said Ayelet Eliezer, Chief Product Officer at BioCatch. She noted that consolidating multiple SDKs into a single solution can help banks reduce cost and complexity while improving scalability.