Didit Biometric Authentication vs Iru AI: Side-by-Side Comparison (2026)

Didit Biometric Authentication: Biometric re-authentication for returning users using liveness and face matching. built by Didit. Core capabilities include Real-time liveness detection with passive and active methods, Face matching against stored portraits or API-provided reference images, Three liveness modes: Passive (1s), 3D Flash (5s), Action & 3D Flash (8s)..

Iru AI: AI-powered unified platform for identity, endpoint security, and compliance. built by Iru. Core capabilities include Passwordless workforce identity with device-bound authentication, Unified endpoint management for Apple, Windows, and Android devices, Endpoint detection and response (EDR)..

Both serve the MFA & Passwordless market but differ in approach, feature depth, and target audience.

Didit Biometric Authentication differentiates with Real-time liveness detection with passive and active methods, Face matching against stored portraits or API-provided reference images, Three liveness modes: Passive (1s), 3D Flash (5s), Action & 3D Flash (8s). Iru AI differentiates with Passwordless workforce identity with device-bound authentication, Unified endpoint management for Apple, Windows, and Android devices, Endpoint detection and response (EDR).

Didit Biometric Authentication is developed by Didit. Iru AI is developed by Iru. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.

Didit Biometric Authentication and Iru AI serve similar MFA & Passwordless use cases: both are MFA & Passwordless tools, both cover Authentication, MFA. Review the feature comparison above to determine which fits your requirements.