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attack-graph

Here are 41 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, risk scoring, and MITRE ATT&CK aligned.

  • Updated Jul 14, 2026
  • Python
rt-kcsm

Real-Time Detection of Multi-Stage Attacks using Kill Chain State Machines: Detect multi-stage attacks by correlating alerts from Intrusion Detection Systems (IDS) to reconstruct attacks. By prioritising alerts based on the kill chain model the RT-KCSM reduces false-positive alerts.

  • Updated Jul 2, 2026
  • Jupyter Notebook

Cold Relay is a single-binary Active Directory security assessment tool that collects Windows authentication evidence across LDAP, Kerberos, SMB, DNS, GPO, delegation, certificate services, and more turning evidence into deterministic findings with an offline attack graph.

  • Updated May 9, 2026
  • Go

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

Lightweight Autonomous Intrusion Detection and Response System — real-time packet capture, adaptive baseline learning, micro-honeypot deception layer, causal attack graphs, and explainable automated blocking for small-scale networks.

  • Updated Jun 26, 2026
  • Python

Neuro-symbolic RL agent that learns to pentest networks it has never seen — GPT-4o compiles CVE preconditions into a Z3 action mask over a GraphSAGE PPO policy. Zero-shot attack-graph transfer, negatives disclosed.

  • Updated Jun 4, 2026
  • Python

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