AGENT SECURITY / PERSPECTIVE

The Prompt Is Only the Beginning

AI security often begins with the prompt and model response. Agents make that view incomplete because a single request can become a sequence of decisions and actions.

Conceptual runtime action paths and decision evidence
01

A response is not the end of the workflow

An assistant returns information for a person to review. An agent can continue by selecting a tool, generating a command, changing a file, installing a package, or contacting a service. The security question moves from what the model said to what happened next.

02

The session is the unit of understanding

An isolated command may look ordinary. Its meaning can depend on the originating request, earlier tool activity, context changes, and the destination of the resulting action. Session visibility connects those events.

03

Control belongs near the action

Prompt protections remain valuable, but a concrete action creates a clearer enforcement point. Runtime security can evaluate supported actions against explicit policy before execution, then preserve the decision as evidence.

04

A practical design question

For every agent workflow, ask which actions can change a system, expose information, install software, or invoke an external capability. Then decide which require visibility, evaluation, or enforcement.

CONTINUE / RELATEDWhat Is AI Agent Runtime Security?↗How Aegis Works↗AI Coding Agent Security↗