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AAPP‑MART (AI-Autonomous Attack Path Prediction & Multi‑Agent Red Team Simulation Engine) is designed for attack simulation, automated threat modeling, adversary emulation, attack graph analysis, risk scoring, and enterprise‑grade cybersecurity validation, intelligence aligned with MITRE ATT&CK and cyber resilience.
Cloud Identity Security Engineering — Go-based security research and tooling for AWS IAM attack-path analysis, privilege escalation detection, and CloudTrail-based detection engineering.
A graph-first, agentic security framework for AWS that models cloud environments as attack graphs. Leverages LangGraph and Neo4j to perform recursive attack path analysis and autonomous remediation reasoning. Designed for the 'Assumed Breach' era.
This repository contains a vulnerability scanner mapped to the MITRE ATT&CK framework, featuring an animated, single-page web dashboard. Core Technologies: Python, Flask, Nmap (python-nmap), HTML/CSS/JS.
PivotMap is an open-source attack path intelligence engine for offensive security teams. It ingests scan results, correlates vulnerabilities, builds a directed attack graph, and identifies realistic compromise paths. PivotMap focuses on reasoning, not scanning.
Active Directory attack-path analysis lab simulating an internal penetration test. Includes LDAP, Kerberos, SMB enumeration, BloodHound graph analysis, privilege escalation reasoning, and professional documentation of security misconfigurations in a controlled lab environment.
Defensive AD and Microsoft Entra ID exposure analyzer with identity risk detections, app permission review, Conditional Access checks, graph-based privilege paths and JSON reports.