AI agent security protects the actions an AI system can take: which tools it can use, what data it can access, whose authority it carries and how its behavior is checked.

Why actions change the security question

An assistant that writes text and an agent that changes a business record create different risks. When a model can invoke tools, a misleading instruction can affect a downstream system. Security must consider the entire workflow: input, model, tools, identities and resulting actions.

For example, a service agent might read an account record, propose a change and request approval. Each step needs its own boundary. Permission to read a record should not silently become permission to change it.

Four questions to ask before deployment

  1. What could redirect the agent? Test adversarial inputs and untrusted content in the workflow.
  2. What can it do? Define tools, data access and permitted operations.
  3. Whose authority is it using? Preserve both the human and agent identities.
  4. Can the outcome be reviewed? Connect the action to its policy, identity context and result.

Connect testing and runtime controls

Assessment helps identify weaknesses in a defined environment. Runtime controls apply policy as the application operates. Neither should be treated as a substitute for the other. Retest relevant behavior when the workflow, tools or permissions change.

OWASP’s prompt-injection guidance recommends limiting privileges, using human approval for high-risk actions and conducting adversarial testing. These measures reduce exposure; they do not justify a claim of complete protection.

A practical evaluation checklist

  • List the tools and resources the agent can reach.
  • Document which actions require a person’s approval.
  • Test attempts to exceed the user’s or agent’s permissions.
  • Check whether evidence explains a decision in business context.
  • Agree which controls gate execution and which observe activity.

How AGMIO approaches this

ARGUS assesses agentic workflows, TRACE provides runtime controls and tracing, and AIM evaluates identity and delegated authority.

Further reading

OWASP: Prompt Injection
NIST: AI Risk Management Framework