You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
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.
AAPP-MART is a cybersecurity engine featuring AI-powered autonomous attack path prediction and multi-agent red team simulation. These features include adversary emulation, attack path analysis, threat modeling, security validation, risk assessment, and MITRE ATT&CK alignment.
Attack-path analysis for OPA policies. Finds the escalations that only show up when you look at the policy and the data together, and exports them as a BloodHound OpenGraph.
Cloud Identity Security Engineering — Go-based security research and tooling for AWS IAM attack-path analysis, privilege escalation detection, and CloudTrail-based detection engineering.
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.
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.
PivotMap is an open-source attack path intelligence engine for offensive security teams. It ingests scan results, correlates vulnerabilities, builds a directed attack graph, and identifies realistic compromise paths. PivotMap focuses on reasoning, not scanning.