Evaluate every login attempt for fraud signals — in real time.
POST /v1/auth/risk
Score login attempts using device, location, behavioral, and contextual signals. Risk scores power step-up authentication decisions without adding friction to legitimate users — and without exposing your auth flow to fraud.
Everything you need
A complete solution — from discovery to enforcement to response.
Sub-50ms Scoring
Designed for inline auth gates — scores are returned before your login response is sent. Zero perceptible latency for users.
Multi-Signal Fusion
Combines device fingerprint, IP reputation, geolocation velocity, behavioral biometrics, and session context into a single 0–100 risk score.
OAuth 2.0 Native
Drops into any OAuth 2.0 flow — plug into Auth0, Keycloak, Okta, or any standards-compliant IdP with a single webhook.
Adaptive Model Retraining
Thresholds and models retrain continuously as fraud patterns evolve. Drift detection triggers retraining before accuracy degrades.
Step-up Auth Triggers
Return a CHALLENGE verdict to trigger MFA or additional verification for medium-risk logins — without blocking low-risk sessions.
Explainable Verdicts
Every score includes a SHAP breakdown — which signals contributed most, and why the session was flagged. Auditable for compliance.
Built for your team
Consumer Authentication
Add invisible fraud detection to your login flow — protect users without adding MFA friction for trusted sessions.
Enterprise SSO
Augment your corporate IdP with real-time risk scoring — flag unusual logins from new devices or unexpected locations.
Financial Services
Meet regulatory requirements for strong customer authentication while maintaining a frictionless experience for verified users.
API Access Control
Score API key usage and service account logins — catch credential theft and token replay attacks in real time.
Start building with the AI Security API
Join hundreds of engineering and security teams who rely on AlektroAI for real-time threat detection and compliance.