Restricts AI agents to declared behaviors and resource permissions using behavior certificates

Prevents malicious instructions from altering model behavior through security boundaries and in-context defenses

Embeds policy-as-code rules to enforce business logic and regulatory requirements for model inference

Can bind authenticated prompts with enterprise identity for attribution and secure agentic access control

Maintains trusted separation of system instructions and external inputs with explicit security boundaries

Certifies agent manifests and capabilities to ensure trust in third-party or distributed AI components

Can record logs, telemetry, and metadata for visibility into agent actions and security enforcement

Embeds behavior testing, policy validation, and security evaluation into automated AI development pipelines