# Overview

**AAPP-MART** (AI-Autonomous Attack Path Prediction & Multi-Agent Red Team Simulation Engine) is an open-source Python-based offensive security engine designed to help security teams and researchers proactively assess and strengthen their environments. It integrates **AI-driven attack path prediction** with **autonomous adversarial simulation** to model how attackers might move through a system and to surface actionable risk insights.

This project goes beyond traditional static vulnerability scanning by combining predictive analytics and autonomous red-team style simulations. Its architecture supports **continuous security evaluation**, enabling defenders to anticipate attack strategies and validate defensive controls before breaches occur.

## Key Capabilities

- **Attack Path Prediction** – Analyzes assets, configurations, and known vulnerabilities to build predicted exploitation chains.
- **Multi-Agent Simulation** – Employs autonomous AI agents that emulate realistic adversary behavior to simulate attacks end-to-end.
- **Risk Scoring & Reporting** – Produces structured findings and risk scores, helping teams prioritize remediation.
- **Alignment with MITRE ATT&CK** – Maps simulation results to standard adversary tactics and techniques for defensible analysis.

**Example Attack Path:**

```
User Credential → Phishing Exploit → Initial Access → Lateral Movement → Privilege Escalation → Critical Asset Compromise
```

## Why AAPP-MART?

Modern computing environments are too complex for purely reactive or playbook-based security tools.
AAPP-MART’s predictive and adaptive design enables organizations to move security validation earlier into their workflows and to identify high-impact risk scenarios that might otherwise be overlooked.

## Target Users

- CISOs, InfoSec managers, and executive stakeholders seeking actionable security intelligence  
- Security, engineering, and risk teams aiming to proactively assess and improve cyber resilience  
- Internal/External red, blue, and purple teams requiring realistic, repeatable adversary emulation  
- Organizations subject to regulatory or compliance mandates (MITRE ATT&CK, NIST, CIS, PCI DSS, ISO 27001, etc.)

## Usage Context

AAPP-MART is intended for **authorized security evaluation**, penetration testing, research, and defensive validation.
It integrates with real-world workflows where understanding potential attack surfaces and adversary strategies yields stronger security postures.

> [!WARNING]
> Use against production systems **without explicit authorization is prohibited and may be unlawful**.
