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[>_] ROOM · Cybersecurity
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.
Room tasks
1A Methodology for Attack Surface Mapping
2Identifying Entry Points in a Target AI Application
3Guided Lab: Full Attack Surface Map of a Sample AI App
Frequently Asked Questions
What is an AI application's attack surface?
It includes every place an attacker can influence or extract data: prompts, retrieval sources, tools, plugins, APIs, models and the infrastructure underneath. AI apps add more entry points than classic ones.
How do you map an AI app's attack surface?
List components, draw a data flow diagram, mark trust boundaries and note where untrusted data enters. Then map risks to a framework such as the OWASP Top 10 for LLMs.
Do I need experience to follow this room?
No. It is rated beginner and free on Codelivly. It teaches a repeatable methodology you can apply before any AI red teaming or security review.