Reinforcement learning framework for decision-level interception prioritization of drone swarms.
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Updated
Jan 6, 2026 - Python
Reinforcement learning framework for decision-level interception prioritization of drone swarms.
ICS Incident Response Automation Framework Python framework for executing automated incident response playbooks in ICS/SCADA environments. Supports network isolation, forensic preservation, logic restoration, and safety system interventions. Designed for defenders, researchers, and red team simulations in operational technology networks.
All-in-one ICS/SCADA hacking, red teaming, malware analysis, detection, and lab architecture cheat sheet
Simulator of critical infrastructure network failures, attacks and resilience
Mercury Agent ♱ - Is a neuro-symbolic autonomous AI prototype, integrating machine learning-based anomaly detection, multi-domain operations, and ethical alignment protocols. Designed for STEM research, humanitarian crisis response, and advancing civilization-first AI evolution.
This repository contains my complete study materials from the Introduction to Critical Infrastructure Protection (ICIP) – OSWAT course. It includes detailed notes, labs, policies, and case studies that cover essential concepts of CIP such as compliance standards, risk assessment, physical and cybersecurity, incident response, and vendor management.
KRITIS Playbook v2.0 – Public Edition (TLP:CLEAR)
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