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attack-path-analysis

Here are 19 public repositories matching this topic...

aapp-mart

AAPP-MART (AI‑Autonomous Attack Path Prediction & Multi‑Agent Red Team Simulation Engine) is a security engine for AI-powered attack-path prediction, autonomous multi-agent red-team simulation, threat modeling, adversary emulation, risk assessment, and MITRE ATT&CK aligned.

  • Updated Jul 14, 2026
  • Python

Enterprise cloud attack path analysis platform using Neo4j graph databases, Cypher queries, and AI to map cloud assets, uncover lateral movement paths, identify toxic privilege combinations, and accelerate cloud security investigations.

  • Updated Jun 24, 2026
  • Python

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.

  • Updated May 28, 2026
  • Python

Cloud Security Posture Management (CSPM) platform that maps AWS misconfigurations to MITRE ATT&CK techniques, attack paths, blast radius risk, and CIS/NIST/SOC2/PCI compliance controls.

  • Updated Jul 13, 2026
  • Python

SAGE - An autonomous AI-assisted application security platform that converts repositories into interactive knowledge graphs, correlates NVD CVEs with code-level reachability, performs exploitability analysis using LLMs, generates remediation patches, validates fixes through testing and Semgrep, and automatically creates GitHub pull requests

  • Updated Jun 14, 2026
  • HTML

Active Directory attack-path analysis lab simulating an internal penetration test. Includes LDAP, Kerberos, SMB enumeration, BloodHound graph analysis, privilege escalation reasoning, and professional documentation of security misconfigurations in a controlled lab environment.

  • Updated Feb 26, 2026

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