Adversarial cases deliberately stress trust boundaries, parser ambiguity, goal conflict, long context, tool errors, and coordination. Tests should be authorized, reproducible, and mapped to mitigations.

Adversarial Evaluation Targets Assumptions

An incident process detects harm, stops or limits execution, preserves evidence, notifies responsible parties, repairs effects, and updates graph controls. Model-output deletion alone is not remediation.

Agent Incidents Need Containment and Learning

In this situation—a retrieved document instructs the agent to ignore its policy—which choice best applies “Adversarial Evaluation Targets Assumptions”?

Injection succeeds when untrusted content is allowed to alter privileged instructions or actions. Every ingestion, memory, message, and tool-return edge must preserve trust labels and authority.

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