Self Healing AI Cybersecurity Platform For Smart Power Grids
Description
Self-Healing Multi-Agent AI Cybersecurity Platform for Smart Power Grids. Features Spatial PyTorch GNNs, LangGraph Multi-LLM Orchestration (Claude, DeepSeek, OpenAI, Gemini, Ollama), MITRE ICS Threat Mapping, ChromaDB Vector RAG, and Sub-5ms Autonomous Grid Reconfiguration.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
Self-Healing AI Cybersecurity Platform for Smart Power Grids
[](https://www.python.org/downloads/) [](https://pytorch.org/) [](https://streamlit.io/) [](https://www.trychroma.com/) [](LICENSE) [](https://www.nerc.com/pa/Stand/Pages/CIPStandards.aspx) [](https://attack.mitre.org/matrices/ics/)
**Department of Data Science | Batch DSA-13**
An autonomous cyber-physical defense and self-healing platform engineered to detect, classify, and mitigate critical smart grid cyber intrusions (FDIA, SCADA DDoS, Breaker Hijacking) with sub-5ms automated restoration using Graph Neural Networks, LangGraph Multi-LLM Agent Orchestration, and ChromaDB Vector RAG.
Project Overview
AEGIS-GRID simulates a full IEEE 14-Bus / IEEE 33-Bus smart power distribution network and applies an AI-driven security stack to detect, analyze, and autonomously mitigate cyber-physical threats in real time. The platform is designed to meet NERC CIP, IEEE 1547, and IEEE 1159 grid security standards.
Key Features
- Spatial PyTorch GNN AutoEncoder for real-time anomaly localization across the power graph
- LangGraph Multi-Agent Orchestration with 4 specialized AI agents:
- Triage Agent, Risk Assessment Agent, Healing Planner Agent, Safety Validator Agent
- Universal LLM Support: Anthropic Claude, DeepSeek, Mistral AI, OpenAI, Google Gemini, HuggingFace, Ollama, and offline heuristics
- ChromaDB Vector RAG: Semantic retrieval of IEEE standards, NERC CIP protocol
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