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As a security administrator, I want to implement a basic threat detection mechanism that identifies potentially anomalous user behavior and presents a challenge (like reCAPTCHA) to verify the user's legitimacy, and I want to be able to revoke user sessions based on the threat detection model's output, to mitigate potential security risks.
Description
To proactively address potential security threats, we need to implement a basic threat detection framework. As a first step, we want to create a system that analyzes user data to identify potentially anomalous behavior. When such behavior is detected, the system should present a challenge (similar to reCAPTCHA) to verify the user's legitimacy. Additionally, we need the ability to revoke user sessions based on the threat detection model's output, allowing us to immediately mitigate potential risks posed by compromised or malicious accounts. This feature will serve as the foundation for a more comprehensive threat detection system.
Acceptance Criteria
Anomaly Detection Model:
Given: User activity occurs within the system.
When: The system analyzes user data against a defined anomaly detection model.
Then: The system should be able to identify potentially anomalous user behavior based on the model's output.
Challenge Presentation:
Given: The anomaly detection model identifies potentially anomalous user behavior.
When: The user attempts to perform a sensitive action (e.g., login, password change, sensitive data access).
Then: The system should present a challenge to the user (e.g., reCAPTCHA, custom challenge).
Challenge Verification:
Given: A user completes the presented challenge.
When: The user's response is validated against the challenge criteria.
Then:
If the response is valid, the user should be allowed to proceed with the action.
If the response is invalid, the user should be denied access, and potentially logged out.
Session Revocation:
Given: The anomaly detection model identifies high-risk anomalous user behavior.
Then: An administrator or automated system should be able to revoke the user's active sessions.
Configuration Options:
Given: An administrator wants to configure the threat detection behavior.
Then: The system should provide configuration options for:
Enabling/disabling the anomaly detection model.
Configuring the sensitivity of the model.
Defining the types of actions that trigger the challenge.
Configuring session revocation thresholds.
Logging and Auditing:
Given: The system detects anomalous user behavior and presents a challenge or revokes a session.
Then: The system should log and audit the event, including:
The user ID.
The detected anomaly.
The challenge presented (if applicable).
The session revocation (if applicable).
The timestamp.
Performance:
Given: The anomaly detection model is active.
Then: The system should not experience significant performance degradation due to the model's analysis.
Documentation:
Given: An administrator or developer accesses the system documentation.
Then: The documentation should explain:
The basic threat detection mechanism.
How to configure the system.
How to interpret the logs and audit trails.
Testing:
Given: The basic threat detection feature is implemented.
Then:
Unit tests should verify individual components of the anomaly detection model and challenge system.
Integration tests should verify the interaction between the model, challenge, and session management systems.
End-to-end tests should simulate user workflows, including triggering anomalies and handling challenges.
Test cases should cover valid and invalid user behavior scenarios.
As a security administrator, I want to implement a basic threat detection mechanism that identifies potentially anomalous user behavior and presents a challenge (like reCAPTCHA) to verify the user's legitimacy, and I want to be able to revoke user sessions based on the threat detection model's output, to mitigate potential security risks.
Description
To proactively address potential security threats, we need to implement a basic threat detection framework. As a first step, we want to create a system that analyzes user data to identify potentially anomalous behavior. When such behavior is detected, the system should present a challenge (similar to reCAPTCHA) to verify the user's legitimacy. Additionally, we need the ability to revoke user sessions based on the threat detection model's output, allowing us to immediately mitigate potential risks posed by compromised or malicious accounts. This feature will serve as the foundation for a more comprehensive threat detection system.
Acceptance Criteria