ID-Pal, an identity verification and fraud prevention platform, has announced significant enhancements to its Injection Attack Detection (IAD) capabilities within its Liveness Testing function, aimed at closing a critical gap in biometric security during remote onboarding.
The upgraded IAD functionality enables ID-Pal to flag in real time when a biometric facial matching session has been compromised at the software or session layer. The technology is built to catch fraudsters who seek to sidestep a device’s physical camera by injecting pre-recorded or manipulated media directly into a live verification session — a threat that has grown considerably more sophisticated with advances in artificial intelligence.
The enhanced detection now covers a broad spectrum of attack types, including photo attacks using printed images or phone screens, video replay attacks, screen and virtual camera injection, two- and three-dimensional mask attacks, AI-generated and deepfake faces, and bot-assisted or scripted fraud attempts. The move comes against a backdrop of rising AI-driven fraud: the Regula 2025 Identity Fraud by Numbers report identified growing incidences of voice cloning, synthetic identities and prompt injection attacks, a picture reinforced by CIFAS’ Fraudscape 2026 Report, which found that fraud cases have reached a record high.
ID-Pal positions itself as a platform serving financial services organisations, FinTech firms and regulated industries more broadly, offering identity verification and fraud prevention tools designed to protect digital onboarding processes.
The enhancements add to ID-Pal’s existing fraud prevention suite, with the company stating that the upgrades are intended to support organisations in hardening the security and resilience of their remote onboarding infrastructure while preserving a smooth experience for genuine customers.
ID-Pal CEO and founder Colum Lyons said, “Most vendors protect against presentation attacks, but far fewer protect against injection attacks in such an intuitive way, without compromise on user experience. As deepfake technology improves, these attacks are becoming more scalable, harder to detect, and increasingly automated – exposing your business to a new generation of identity fraud.”
ID-Pal head of product Rob Sheehan said, “Fraud tactics continue to evolve as criminals adopt AI-generated media and sophisticated manipulation tools. By enhancing our Liveness Detection capability, we are helping organisations defend against a new generation of digital identity fraud while maintaining a seamless user experience for legitimate customers.”
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