Tool for building Kubernetes attack paths

[TDSC 2021] IntruSion alert-driven Attack Graph Extractor. https://ieeexplore.ieee.org/document/9557854

A Graph Neural Network-based Intrusion Detection System

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 is an AI-Autonomous Attack Path Prediction & Multi‑Agent Red Team Simulation Engine designed for attack simulation, automated threat modeling, adversary emulation, and enterprise‑grade cybersecurity validation aligned with MITRE ATT&CK.

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 generate scenario graphs. By prioritising alerts based on the kill chain model the RT-KCSM reduces false-positive alerts.

Visual IAM attack graph for AWS. Instantly analyze permissions, detect privilege-escalation risks, and audit IAM roles — locally, securely.

Enterprise Attack Simulator is a modular adversary simulation framework designed to emulate real-world attack scenarios based on the MITRE ATT&CK framework.

Shadow Blade - A tool to interact with attack graphs

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.

Maps real test paths from packaged apps: footholds, persistence, and lateral hooks. You finish chains instead of drowning in noise.

Cascada — A design-time attack path reasoning engine with deterministic, explainable risk scoring.

Attack graph construction from network topology and vulnerability scans with MITRE ATT&CK mapping and GNN-based 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.

AI-powered cloud security policy analyzer that detects IAM misconfigurations, policy conflicts, and attack paths using graph reasoning.

Contexta - AI-powered context-aware threat intelligence & business risk platform with CVE ingestion, autonomous SOC agents, automated response playbooks and attack-path simulation.

AI-powered attack path synthesizer with cross-tool integration — ingest findings from 45+ tools, build knowledge graphs, and synthesize realistic attack paths with MITRE ATT&CK mappings

This is the github repo for the Master's thesis of Anushka