# Mapping an AI App's Full Attack Surface

> Learn a systematic methodology to map, document, and evaluate the complete attack surface of modern AI applications, from data ingestion to tool execution.

Canonical: https://codelivly.com/rooms/mapping-an-ai-apps-full-attack-surface
Last updated: 2026-10-07

| | |
|---|---|
| Level | Beginner |
| Category | Cybersecurity |
| Lessons | 3 |
| Estimated time | 30 min |
| XP | 100 |

This module synthesizes core AI security concepts into a practical, step-by-step methodology for mapping the complete attack surface of an AI application. You will learn how to create AI-specific data flow diagrams, identify all probabilistic trust boundaries, catalog potential vulnerabilities across the OWASP Top 10 for LLMs, and prioritize remediation based on real-world business impact.

## Lessons

1. A Methodology for Attack Surface Mapping (30 min)
2. Identifying Entry Points in a Target AI Application (30 min)
3. Guided Lab: Full Attack Surface Map of a Sample AI App (30 min)

## Related

- [Learning path: AI Application Architecture and Attack Surface](https://codelivly.com/learning-paths/ai-application-architecture-and-attack-surface)
- [All rooms](https://codelivly.com/rooms)