Events
Learn how to evaluate biometric systems against deepfakes, injection attacks, and AI-driven identity fraud
Generative AI is reshaping the threat landscape for digital identity.
Deepfakes, synthetic identities, and biometric injection attacks are now scalable, automated, and increasingly effective against legacy identity verification systems. At the same time, AI agents can operate using valid credentials without verified human intent, creating a new layer of identity risk.
For security and identity leaders, the challenge is clear. How do you prove that your biometric system can withstand real-world AI attacks?
This webinar provides a practical framework for evaluating biometric testing standards, certifications, and real-world resilience.
Why this webinar matters
Organizations across government, financial services, healthcare, and critical infrastructure are under increasing pressure to align with NIST SP 800-63-4 digital identity guidelines.
This latest update introduces explicit requirements for:
- Injection attack detection (IAD)
- Deepfake and AI-generated fraud prevention
- Phishing-resistant authentication (AAL3)
- Accessibility and operational security standards
At the same time, new standards like CEN/TS 18099 are emerging as critical benchmarks for testing biometric systems against injection attacks.
However, not all certifications measure the same risks.
A solution can pass presentation attack detection (PAD) testing and still be vulnerable to scalable injection attacks.
This session helps you understand what truly matters when evaluating biometric security in the age of AI.
What you will learn
In this webinar, you will gain a clear, practical understanding of:
- NIST SP 800-63-4 and biometric security requirements
What has changed and how it impacts identity verification, authentication, and compliance strategies - Injection attacks vs presentation attacks
Why these are different threat classes and how attackers exploit the gap - CEN/TS 18099 and injection attack testing
How this standard evaluates biometric systems against real-world AI-driven attacks - Biometric certifications explained
What FIDO Face Verification, ISO/IEC 30107-3 (iBeta), eIDAS 2, and SOC 2 Type II actually validate - Accredited lab testing vs vendor claims
Why independent testing is essential for meaningful comparison - AI agents and identity risk
How agentic AI introduces new vulnerabilities and what human-in-the-loop controls look like - How to evaluate biometric vendors
The key questions to ask to ensure your solution is resilient to AI-driven fraud
Featured speaker
Chris Allgrove
CTO & Co-Founder, Ingenium Biometric Laboratories
Chris brings deep expertise in biometric testing and certification, with direct experience in how accredited labs evaluate systems against evolving attack vectors, including injection attacks and AI-generated fraud.
Register for the webinar
Get clear, expert guidance on how to evaluate biometric systems in the age of AI-driven identity attacks.
