Attack Surface Mapping
Comprehensive attack surface mapping for AI agent ecosystems — automated discovery, continuous inventory, threat surface quantification, and the mapping methodology that makes invisible attack paths visible before attackers find them.
9 Lessons · ~0.4 Hours · 3 Modules
Instructor: DRILL — Academy Director
Module 1: AI Attack Surface Discovery
Automated and manual techniques for discovering every component, interface, data flow, and integration that constitutes the attack surface of an AI agent ecosystem.
- The Hidden Surface (4 min read)
- Automated Surface Discovery (3 min read)
- Surface Quantification (3 min read)
Module 2: Continuous Surface Management
Keeping the attack surface map current as the system evolves — change detection, surface reduction, and the operational practices that prevent map drift.
- Change Detection (3 min read)
- Attack Surface Reduction (4 min read)
- Third-Party Surface Assessment (3 min read)
Module 3: Surface Mapping Operations
Operationalizing attack surface management — the team structure, tooling, and cadence that makes surface mapping a continuous practice, not a periodic project.
- The Surface Map as Living Document (3 min read)
- Surface Metrics and Reporting (3 min read)
- Operationalizing Surface Management (3 min read)