LONDON – 24th March 2026 – ID-Pal, the award-winning identity verification and fraud prevention platform, today announced the addition of Injection Attack Detection (IAD) to its Liveness Testing capabilities, designed to catch and prevent camera feed manipulation and deepfake injection during remote onboarding.
With the introduction of Injection Attack Detection, ID-Pal can now alert clients to when a biometric facial matching session has been manipulated at the software or session layer, helping organisations identify attacks where fraudsters attempt to bypass the physical device camera and inject manipulated or pre-recorded media directly into the verification session.
As fraud techniques evolve, organisations are facing increasingly sophisticated AI-driven threats. According to the Regula 2025 Identity Fraud by Numbers report, both consumers and businesses are seeing more AI-powered scams: voice cloning, synthetic identities, and prompt injection attacks are on the rise – further echoed by CIFAS’ Fraudscape 2026 Report that asserts fraud cases have hit a record high.
Building protection against emerging threats
By adding Injection Attack Detection, ID-Pal now helps organisations detect both physical presentation attacks and software-level session manipulation, strengthening the resilience of digital onboarding systems against emerging AI-fraud threats that include:
- Photo attacks (printed images, phone displays)
- Video replay attacks
- Screen and virtual camera injection
- 2D and 3D mask attacks
- AI-generated and deepfake faces
- Bot-assisted and scripted fraud attempts
As deepfake technology becomes more accessible and automated, organisations across financial services, fintech, and regulated industries are increasingly seeking identity verification solutions capable of detecting advanced impersonation attacks.
“Most vendors protect against presentation attacks, but far fewer protect against injection attacks,” said Colum Lyons, CEO and Founder of ID-Pal. “As deepfake technology improves, these attacks are becoming more scalable, harder to detect, and increasingly automated. Without injection detection, biometric verification can be bypassed even when liveness checks are enabled, exposing your business to a new generation of identity fraud.”
Rob Sheehan, Head of Product at ID-Pal adds:
“Fraud tactics continue to evolve as criminals adopt AI-generated media and sophisticated manipulation tools. By expanding our Liveness Detection with this capability, we are helping organisations defend against a new generation of digital identity fraud while maintaining a seamless user experience for legitimate customers.”
The introduction of Injection Attack Detection strengthens ID-Pal’s broader fraud prevention capabilities and supports organisations looking to enhance the security and resilience of their remote onboarding processes.
