Containment Strategy (AI)

An AI containment strategy is a set of technical and procedural controls designed to limit the potential impact of an AI agent that behaves unexpectedly or is compromised.

Containment measures include sandboxed execution environments, network egress restrictions, read-only tool modes, automatic suspension on policy violation, and human review gates for high-risk actions. A layered containment strategy ensures that a single failure point cannot lead to catastrophic outcomes.

Closely related concepts include Capability Control (AI), Agent Context Isolation, Containment Strategy, Policy Enforcement Point. Each is defined in the Prefactor glossary.