Multi-Modal Identity Verification
Identity verification is the foundation of trustworthy digital signing. Traditional methods — passwords, PINs, and security questions — are increasingly inadequate against sophisticated fraud. AI-driven biometric authentication combines multiple identity signals — facial recognition, signature analysis, behavioral patterns, and device fingerprinting — to create a verification layer that's virtually impossible to defeat.
For high-stakes signing scenarios across India, Singapore, the UAE, the UK, and the Philippines, multi-modal biometric verification provides the identity assurance that parties, regulators, and courts require. The combination of AI analysis and biometric data creates a standard of identity verification that exceeds what traditional wet-ink signatures can offer.
Facial Recognition and Liveness Detection
AI-powered facial recognition compares the signer's face against a reference image — typically from an ID document or a registered profile — to confirm identity. Liveness detection adds an additional layer by requiring the signer to perform specific actions (blinking, turning their head, smiling) to prove they're physically present rather than presenting a photograph or deepfake video.
Inscriben's biometric verification includes both facial recognition and liveness detection, ensuring that every signed document is executed by a verified, physically present individual. The biometric data is encrypted using AES-256 encryption and stored securely with the document audit trail.
- Facial Matching: AI comparison against reference images with 99%+ accuracy
- Liveness Detection: Motion-based verification to prevent spoofing with photos or videos
- Front and Side Photos: Multi-angle capture for comprehensive identity documentation
- Encrypted Storage: Biometric data protected with AES-256 encryption
Handwriting and Signature Analysis
For documents requiring handwritten signatures — common in many jurisdictions — AI analyzes the dynamic properties of the signature: stroke speed, pressure variation, pen-up movements, and overall geometry. These dynamic features are unique to each individual and extremely difficult to forge, providing strong authentication even for electronic handwritten signatures captured on touchscreens.
Behavioral Biometrics
Beyond explicit biometric checks, AI systems analyze behavioral patterns during the signing process. Typing speed and rhythm, mouse movement patterns, scrolling behavior, and interaction timing create a behavioral fingerprint that can detect when someone other than the expected signer is interacting with the document. These passive checks add security without adding friction.
Verify Identity with Inscriben
Inscriben's AI-driven biometric verification provides the strongest identity assurance available for digital signing. With facial recognition, liveness detection, signature analysis, and behavioral biometrics, Inscriben ensures that every signer is who they claim to be. Combined with AES-256 encryption, SHA-256 document hashing, and comprehensive audit trails, Inscriben provides legally defensible identity verification for organizations across India, Singapore, the UAE, the UK, and the Philippines.
