The 2026 Liveness Report: Defending Against AI-Native Fraud
Fraud has gone AI-native, most liveness systems haven’t.
AI generated media can now be generated in under 2 seconds on a regular smartphone, free of cost! This has changed the nature of onboarding fraud forever.
At scale, liveness is no longer a compliance layer. It is the control layer of your fraud infrastructure.
In this report, we benchmark modern liveness systems under AI-native attack conditions and outline the architectural shifts required to stay ahead.
Download the Report NowWhat’s inside?
A benchmark-driven breakdown of what separates legacy liveness from AI-ready fraud defense:
The AI-Native
Fraud Landscape
Find out how synthetic identities, injection attacks, and passive spoofing are reshaping onboarding risk.
Benchmarking Modern
Liveness Systems
Performance comparisons across FAR, FRR, spoof resistance, latency, and real-world robustness.
Passive vs Active:
What the Data Shows
Why action-based liveness models are failing at scale and what engineered passive systems do differently.
“Our SLAs are about 98% right now, which are getting completed within 30 minutes. That means it’s smooth and faster, thanks to the technology HyperVerge offers”
Armanjit singh Datt
Lead product manager, Flip
AI-native fraud isn’t slowing down.
Get the benchmarks and architectural insights shaping the future of liveness verification
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