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attack-graph

Here are 25 public repositories matching this topic...

aapp-mart

AAPP‑MART is an open-source cybersecurity engine for offensive security, AI-powered attack path prediction, autonomous red team simulation, automated threat modeling, adversary emulation, attack graph analysis, exposure management, vulnerability assessment, cyber risk assessment, risk scoring, and MITRE ATT&CK-aligned security validation.

  • Updated Jun 29, 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

Hybrid LSTM-Markov attack chain forecasting for MITRE ATT&CK. Learns from 4,849 campaign chains + 8,437 real intrusion traces. Generates 26,051 risk-ranked multi-step attack futures via constrained beam search. 86% next-step accuracy, 0.76 Pearson correlation with NCISS severity. SECRYPT 2026 submission.

  • Updated Jun 23, 2026
  • Python

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