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identity-and-access-management

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This project presents a dynamic, risk-based approach to identity security using risk-scoring algorithms for five real-time use cases. By applying zero-trust principles, sign-in logs are analyzed for anomalies, classifying users and devices as risky or safe. Results are displayed on a dashboard, enabling security admins to make informed decisions.

  • Updated Nov 25, 2024
  • Java

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