Analysis
What Is AI Agent Vulnerability? Definition & Examples
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Why it matters
LLM excessive agency defines a core failure mode in agentic deployments where prompt injection or a bad retrieval can chain a single model call into privileged real-world side effects across connected systems.
A glossary entry from NHI Mgmt Group defines LLM excessive agency as when a model is granted more authority, tool access, or system reach than its task requires, turning prompt manipulation or model error into unauthorized actions, data access, or system changes. The entry gives examples across support, research, coding, and workflow agents and notes NHIMG research finding 80% of organizations reported agent actions beyond intended scope.