AI-Powered Authentication: A Secure and Smooth Experience |…

AI for Risk-Based Authentication and Identity Graphs

Risk-based authentication adapts friction based on context. AI builds identity graphs from devices, locations, behaviors, and relationships to detect account takeover and synthetic identities.

Step-up methods—biometrics, passkeys, OTP—trigger only when needed. Gr

Explainable risk scores and user controls maintain transparency. With privacy safeguards, authentication becomes both secure and smooth.

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Signals and Identity Graphs

Devices, locations, behaviors, and relationships form graphs that expose takeover attempts and synthetic identities.

Frequently asked questions

What is the purpose of using risk-based authentication?

Risk-based authentication dynamically adjusts security measures based on contextual factors, minimizing friction for legitimate users while proactively addressing potential threats.

How do biometrics, passkeys and OTPs contribute to a secure system?

Biometric authentication (like fingerprint scanning), passkeys (digital keys), and one-time passwords (OTPs) are layered security measures that trigger only when the risk level warrants it.

What is an identity graph and why is it important?

An identity graph represents a user’s connections across various platforms and devices, allowing for the detection of synthetic identities and account takeover attempts.

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Everything above runs in your browser — open Stock Price — GBM and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

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