Use case
Trust & Safety
Block deepfakes and AI spoofing with multi-layered presentation-attack detection and risk scoring. Keep your platform free of synthetic identities and fake accounts.
PAD Presentation-attack detection
Deepfake Defense against generative spoofing
AI Labs Continuous research into new vectors
Trust in every interaction
Multi-layered detection
Combines liveness, anti-injection and network signals to stop sophisticated fraud.
Anti-deepfake
Blocks virtual cameras and AI-generated faces in the verification flow.
Risk scoring
Every interaction gets a score that prioritizes human review.
Backed by AI Labs
Continuously evolving models to anticipate new generative-fraud vectors.
GDPR
Platform integrity, with privacy
Protecting the community and respecting users' data are not opposing goals.
- Human decision on critical identity-moderation cases.
- Data minimization in risk analysis.
- Traceability of the signals behind each block.
Scale your onboarding.
Automate your compliance.
Stop choosing between high conversion rates and strict regulatory compliance. Unify your identity workflows, detect fraud in real-time, and give your users full control over their privacy.