excessive agency
AI security interview questions tagged excessive agency, across every topic.
7 questions · 2 unlocked for you
Concepts behind "excessive agency"
Explanations of the mechanisms these questions rely on.
Foundational
Agentic AI SecurityAgentic AI security protects systems in which a model proposes actions through tools. Untrusted inputs and model errors can influence those proposals, so the host and resource services must enforce the task's authority independently: which data can be read, which actions can run, what requires approval and when execution must stop. Agent & MCP Security
Foundational
Excessive AgencyExcessive agency, LLM03 in the OWASP Top 10 for LLM Applications 2026 (LLM06 in 2025), is when an LLM-based system holds more functionality, permissions or autonomy than its task requires, so that a manipulated or mistaken model can cause outsized harm. The fix works on all three dimensions separately: narrow tools, least-privilege credentials scoped to the requesting user, and human or policy gates on consequential actions. Agent & MCP Security
Advanced
Human Approval That HoldsHuman approval adds a person’s decision to an action that policy already permits. Trusted presentation, an authenticated approver, immutable action details and execution-side enforcement connect that decision to its effect. Review volume and usability matter, but a click, signature or second device alone does not establish informed consent or prevent duplicate execution. Agent & MCP Security🔒 Premium