# Benchmark & Performance Evaluation

This document provides the performance evaluation, benchmarking methodology, test environment, and comparative results for **AAPP‑MART** (AI‑Autonomous Attack Path Prediction & Multi‑Agent Red Team Simulation Engine).

AAPP‑MART is designed to deliver **scalable, fast, and accurate** attack‑path prediction and **autonomous red‑team simulations** for enterprise‑grade environments.  
The benchmarks below reflect the performance characteristics of the early engine implementation.

## Comparison: AAPP‑MART vs Other Security Tools

| Capability                          | Traditional Scanners | BAS Tools  | **AAPP‑MART**             |
| ----------------------------------- | -------------------- | ---------- | ------------------------- |
| Detects known vulnerabilities       | ✔️                   | ✔️         | **✔️**                        |
| Predicts attack paths               | ❌                    | ❌          | **✔️ AI-powered**         |
| Autonomous adversarial agents       | ❌                    | ⚠️ Limited | **✔️ Multi-agent**        |
| MITRE ATT&CK behavioral modeling    | ⚠️ Partial           | ✔️         | **✔️ Advanced**           |
| Adaptive simulation                 | ❌                    | ❌          | **✔️**                    |
| Machine learning–based risk scoring | ❌                    | ❌          | **✔️**                    |
| Scalable simulation architecture    | ⚠️                   | ⚠️         | **✔️**                    |
| Attack Path Demo Notebook           | ❌                    | ❌          | **✔️ Public demo**        |
| CVE Mapping Integration             | ❌                    | ❌          | **✔️ Sample CVE mapping** |
| Network Simulation Module           | ❌                    | ❌          | **✔️ Sample topologies**  |
