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.

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.

Shadow Blade - A tool to interact with attack graphs

Kill-Chain Completion Engine (maps real-world exploit chains, persistence, and lateral movement from packaged artifacts.)

AAPP-MART is an AI-driven multi-agent red team simulation engine for proactive security assessment. It enables automated attack path prediction, adversarial strategy simulation, and structured threat modeling via programmable CLI and API interfaces.

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

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

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

🛒 Build an online marketplace with AAPP-MART, a simple yet powerful solution for managing products, users, and transactions seamlessly.

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