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
Mercury Agent is a civilization-first neuro-symbolic AI for multi-domain anomaly & hazard detection — trained fusion of 30 detection engines, real-data hazard models, fail-closed ethical gates, post-quantum crypto, and a self-hostable detection-as-a-service platform. Built for STEM research and humanitarian crisis response.
Simulator of critical infrastructure network failures, attacks and resilience
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)
Full OT/ICS security assessment reproducing the 2023 CyberAv3ngers attack on water treatment infrastructure — OpenPLC, Scada-LTS, Modbus TCP exploitation and IEC 62443 hardening
EnergyTech audit-stream Operator: per-grid-operations AI-decision events hash-chained for NERC CIP + FERC + TSA Security Directives + state PUC + DOE EO 14028 evidence. Every event carries bes_cyber_system_categorization + ot_it_boundary. First Suite verifier with regulatory wall-clock invariant (CIP-008 1-hour reporting window).
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