STRIDE Threat Model Applied to AI Agent Tool Interfaces
AI agents collapse STRIDE's trusted boundaries, requiring new threat models.
Kieran Voss-Nakamura
Section
8 stories in Secure Development.
AI agents collapse STRIDE's trusted boundaries, requiring new threat models.
Blocking every action defeats autonomy; approving all defeats governance.
Securing AI agents in CI/CD requires enforcement at tool execution, not code scans.
Security teams need new playbooks because AI agent compromises leave no binary signatures to patch.
Protocol leaves three security gaps; a new benchmark fills them.
Separating credential storage from agent execution prevents exploitation through compromised tokens.
Classical threat modeling frameworks fail to capture how LLM agents operate.
Agents need security gates based on runtime behavior, not configuration checklists.