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BloodHound-style risk analysis for multi-agent AI architectures. Parses CrewAI, Dify, LangGraph, or generic YAML into a typed capability graph and detects reachable attack paths from untrusted input to sensitive data or external action, with live control simulation.
Open-source Continuous Threat Exposure Management (CTEM) platform: asset discovery, attack surface management, risk-based prioritization, validation and remediation in one place. Go API + Next.js web UI.
Cloud Identity Security Engineering — Go-based security research and tooling for AWS IAM attack-path analysis, privilege escalation detection, and CloudTrail-based detection engineering.
A graph-first, agentic security framework for AWS that models cloud environments as attack graphs. Leverages LangGraph and Neo4j to perform recursive attack path analysis and autonomous remediation reasoning. Designed for the 'Assumed Breach' era.
A comprehensive graph-based attack path analysis tool that identifies hidden privilege escalation routes, blast radius zones, and critical chokepoints in Kubernetes clusters using classical graph algorithms and AI-powered threat narratives.
This repository contains a vulnerability scanner mapped to the MITRE ATT&CK framework, featuring an animated, single-page web dashboard. Core Technologies: Python, Flask, Nmap (python-nmap), HTML/CSS/JS.
SUNDER maps attack paths across AI agent and MCP configurations, finds low-cost remediations, and verifies the resulting graph. Includes a browser-based demo and a Python engine powered by FalkorDB.