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, risk scoring, and MITRE ATT&CK aligned.

Secure command sandbox with ACL-based filtering preventing AI agents executing destructive operations like file deletions during panic states.

A modular CLI platform for running Python micro-tools from a shared tools directory.

Proof records linking detection, validation, and evidence-backed claims.

Multi-agent terminal automation system with command planning, security validation, and real-time monitoring - A Model Context Provider (MCP) server for intelligent terminal management

Validate. Verify. Defend. A Microsoft Defender validation framework with guided testing experiences and analyst-focused reporting.

Validate and enforce zero trust architecture principles

Pre-engagement safety validator for MCPwn deployments

Generate realistic security test payloads and scenarios for penetration testing

Enterprise security control validation framework with MITRE mapping, detection hypothesis modeling, and continuous assurance design.