[TDSC 2021] IntruSion alert-driven Attack Graph Extractor. https://ieeexplore.ieee.org/document/9557854
-
Updated
Jun 28, 2024 - Python
[TDSC 2021] IntruSion alert-driven Attack Graph Extractor. https://ieeexplore.ieee.org/document/9557854
Enterprise-grade vulnerability management platform with AI-powered analysis, interactive attack graph visualization (NetworkX), and intelligent chatbot for security consultation. Integrates OpenCTI threat intelligence.
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.
Visual IAM attack graph for AWS. Instantly analyze permissions, detect privilege-escalation risks, and audit IAM roles — locally, securely.
Static + plan-time Terraform security analysis with attack-graph prioritisation, MITRE ATT&CK mapping, and one-click PR fix suggestions. 215 rules, 100% fix_hcl coverage.
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.
ARES security assessment platform
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.
BloodHound for AI agents - graph-native capability reachability analysis for MCP and agentic AI systems
AWS exploit chain prover, finds cross-service privilege escalation paths
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.
Incremental verification of attack paths for progressively evolving penetration testing scenarios
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.
BloodHound for the network layer — attack-graph builder for pentesters with AI-powered triage.
ORACLE — Deterministic mission orchestration for authorized security testing. Scope-guarded, evidence-graphed, AI-advisory. Free Community Edition.
Cascada — A design-time attack path reasoning engine with deterministic, explainable risk scoring.
Graph-based cyber attack propagation and blast radius simulator for enterprise environments. Models lateral movement, privilege escalation, and remediation impact using attack graphs.
Contexta - AI-powered context-aware threat intelligence & business risk platform with CVE ingestion, autonomous SOC agents, automated response playbooks and attack-path simulation.
Desktop Active Directory Attack Path Analysis Platform for Security Risk Assessment and MITRE ATT&CK Mapping
Add a description, image, and links to the attack-graph topic page so that developers can more easily learn about it.
To associate your repository with the attack-graph topic, visit your repo's landing page and select "manage topics."