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Upgrade Security APIs with Automated Enforcement and Heimdall Integration#58

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feat/security-apis-auto-enforce-heimdall
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Upgrade Security APIs with Automated Enforcement and Heimdall Integration#58
cto-new[bot] wants to merge 1 commit into
mainfrom
feat/security-apis-auto-enforce-heimdall

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@cto-new cto-new Bot commented Nov 6, 2025

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Summary

This PR introduces advanced security APIs, anomaly enforcement automation, device/IP clustering analytics, and integrates the Heimdall middleware for real-time blocking and remediation.

Details

  • Adds new analytics APIs: /api/security/dashboard, /api/security/devices, /api/security/ip-clusters, /api/security/anomalies for actionable telemetry and forensic analysis
  • Implements backend enforcement to auto-block, ban, or redirect users on high-severity anomalies, updating Redis for near real-time Heimdall checks
  • Enables manual anomaly review via approve/ignore endpoints with audit logging and rollback support
  • Introduces new models for DeviceFingerprint, IPCluster, and SecurityAnomaly with associated DB migrations
  • Adds comprehensive API and enforcement workflow tests, and a new Heimdall middleware unit test
  • Updates documentation with detailed API usage, schema, and workflow explanations for operators and developers

Warning: Task VM test is not passing, cto.new will perform much better if you fix the setup

…all integration

Implements advanced security analytics APIs, device and IP clustering, and introduces
automated anomaly enforcement. Integrates a real-time Heimdall middleware
to block or redirect users, with robust manual override endpoints and audit trails.

- Adds endpoints for analytics, device/IP clusters, and anomalies with filters.
- Implements backend enforcement, blocklist via Redis, and notification hooks.
- Introduces approval/ignore routes for anomaly review and rollbacks.
- Extends tests for enforcement workflow and Heimdall integration.
- Updates documentation for new APIs, DB schema, and usage guides.

These changes greatly strengthen backend security, enable automated defense
triggers, and facilitate correlation across anomalous device/IP/behavior data.
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