# Frequently Asked Questions

This document provides answers to the most frequently asked questions about **AAPP-MART**.

## 1. What is AAPP-MART?

AAPP-MART is an **(AI-Autonomous Attack Path Prediction & Multi-Agent Red Team Simulation Engine)**.  
It uses AI to predict potential attack paths and simulates them, helping organizations **identify and mitigate security risks before they are exploited**.

## 2. How does AAPP-MART differ from traditional penetration testing?

Traditional penetration testing is typically **manual, time-bound, and human-driven**, meaning results depend heavily on tester experience and scope limitations.

AAPP-MART, in contrast, is:

- **Continuous rather than point-in-time**
- **Automated and AI-driven**
- **Graph-based instead of linear testing**
- **Multi-agent instead of single-operator**

It models attacker behavior dynamically across an environment using predictive attack-path analysis rather than executing a fixed test plan.

## 3. Is AAPP-MART an offensive hacking tool?

No.

AAPP-MART is designed for **authorized security simulation and defensive research only**. It does not function as an uncontrolled exploitation framework.

Its purpose is to:

- Simulate attacker behavior in controlled environments
- Identify potential attack paths before real attackers do
- Improve defensive posture and detection engineering

It should only be used in environments where explicit permission has been granted.

## 4. What problems does AAPP-MART solve?

AAPP-MART addresses limitations in traditional security approaches by providing:

- Better visibility into multi-step attack chains
- Prioritization of high-risk attack paths
- Continuous and scalable simulation of adversarial behavior
- Context-aware risk modeling instead of isolated vulnerability reporting

## 5. Does AAPP-MART replace human red teams?

No.

AAPP-MART is designed to **augment, not replace**, human expertise.

It helps security teams:

- Automate repetitive analysis
- Explore more attack scenarios than manually feasible
- Identify non-obvious attack chains

Human analysts remain essential for interpretation, validation, and strategic decision-making.
