ZeroTrust IAM uses AI-powered behavioural biometrics to continuously verify user identity — even after login. Stop credential theft, session hijacking, and insider threats before they cause damage.
Most identity systems grant full trust the moment credentials are accepted — leaving sessions completely unprotected against session hijacking, credential theft, and insider threats.
Stolen passwords give attackers full access. Traditional IAM cannot tell the difference between the real user and an impostor.
Once authenticated, sessions are trusted blindly. Attackers intercept tokens and take over with zero resistance.
Malicious insiders already hold valid credentials. Password systems are entirely blind to their anomalous behaviour.
ZeroTrust IAM builds a unique behavioural fingerprint for every user and flags anomalies instantly — without disrupting the login experience.
Captures keystroke dynamics and mouse movement patterns to create a unique digital fingerprint for each user — invisible to them, powerful for security.
Unsupervised anomaly detection using the Isolation Forest algorithm. No labelled attack data needed — the model learns what normal looks like and flags deviations.
A custom Java SPI plugin intercepts the Keycloak authentication flow transparently. No changes to your existing applications required.
Anomaly scoring happens during the login flow itself. Suspicious sessions are blocked before access is ever granted — within milliseconds.
Enforces "never trust, always verify" at the identity layer — aligned with NIST SP 800-207 and NCSC Zero Trust guidance for enterprise security.
Formally validated through structured testing. High accuracy with manageable false positive rates — enterprise-ready performance benchmarks.
Join organisations adopting Zero-Trust identity verification. See ZeroTrust IAM in action with a live product demonstration.