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security-ai

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GUARDIUM is an intelligent Wazuh rule optimization framework designed to reduce false positives, improve alert accuracy, and assist SOC teams in maintaining high-quality SIEM detections. GUARDIUM combines rule analysis, threat context, and Large Language Models (LLMs) to automatically evaluate, explain, and optimize Wazuh rules.

  • Updated Jan 21, 2026
  • Python

Uncertainty-aware trust verification framework integrating Raft-based consensus, policy-driven filtering, and QBM forensic validation. The system targets robust detection of adversarial AIS behaviors, explicitly modeling gray-zone decisions and trade-offs between security, efficiency, and reliability in maritime blockchain networks.

  • Updated Apr 8, 2026
  • Python

DDoS-Vision: A Deep Learning approach to network security. Converts numerical CIC-IDS2017 traffic flows into 2D grayscale images for CNN classification. Features Grad-CAM for Explainable AI (XAI) and 99% detection accuracy.

  • Updated Mar 7, 2026
  • Python

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