Agent Drift
Agent drift occurs when an AI agent's tool invocations deviate from the intended scope of its assigned task, invoking tools or accessing resources that are outside the bounds of the original task definition.
Why this matters for AI agents
Agent drift is one of the most common failure modes in production agentic systems. LLMs can generalize task objectives in ways that lead to legitimate but unintended tool use.
How AgntID relates
AgntID prevents agent drift by enforcing per-task policy at every tool call—even if the agent's reasoning leads it to an out-of-scope tool, the enforcement layer blocks the invocation.
The static IAM gap
IAM cannot detect agent drift because it evaluates permissions, not task scope. An agent calling out-of-scope tools will succeed as long as it has the technical permissions.
Related phrases
Frequently asked questions
What is agent drift?
Agent drift occurs when an AI agent's tool invocations deviate from the intended scope of its assigned task, invoking tools or accessing resources outside the bounds of the original task definition.
Why does agent drift happen?
LLMs generalize task objectives in ways that can lead to legitimate but unintended tool use. Agent drift is a natural consequence of autonomous reasoning without enforcement constraints.
How does AgntID prevent agent drift?
AgntID enforces per-task policy at every tool call. Even if the agent's reasoning leads it to attempt an out-of-scope tool invocation, the enforcement layer blocks it.
Secure every agent tool call at execution time.
AgntID gives infrastructure teams scoped, ephemeral access control for AI agents without replacing IAM, MCP servers, tools, or agent frameworks.