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Understand what actually proves AI resilience
Generative AI has changed digital identity security. Deepfakes, synthetic identities, and injection attacks are now scalable and difficult for legacy systems to detect. At the same time, AI agents can act using valid credentials without confirmed human intent.
The result is growing risk and confusion.
Biometric certifications are meant to signal trust, but not all frameworks measure the same threats. Some leave critical gaps, especially when it comes to injection attacks.
This webinar explains which certifications do exactly what, and what you should be looking for.
Get clear, practical guidance on how to evaluate biometric security in the age of AI.
What you will learn
- What’s new in NIST SP 800-63-4 and why it matters globally
- The difference between presentation attacks and injection attacks, and why PAD alone is not enough
- What CEN/TS 18099 tests and why it is now a key benchmark for injection attack detection
- How accredited lab testing works and why vendor claims alone are not comparable
- What certifications like FIDO, CEN/TS 18099, eIDAS 2, ISO 30107-3, and SOC 2 Type II actually validate
- The risk introduced by agentic AI and what effective human oversight actually looks like
- How to assess whether your current biometric system is truly resilient to AI-driven attacks
Why this matters now
NIST SP 800-63-4 raises the bar for identity assurance, with clear guidance on deepfakes, injection attacks, and phishing-resistant authentication.
Standards like CEN/TS 18099 are now essential to understanding whether a system can withstand real-world AI threats.