Safety & Alignment Evaluation
Red teaming, safety benchmarks, and alignment testing.
Agent Safety Red Teaming
Systematic adversarial testing of agent systems to discover vulnerabilities, unsafe behaviors, and failure modes before deployment.
Alignment Measurement
Evaluating whether agents faithfully pursue user intent rather than drifting toward unintended objectives, being excessively helpful, or optimizing for proxy goals.
Evaluating Refusal Behavior
Measuring the quality of when agents say “no” – balancing over-refusal that frustrates users against under-refusal that permits harmful actions.
Harmful Action Detection Metrics
Metrics and methods for detecting when agents take harmful or unintended actions, balancing the cost of missed detections against the cost of false alarms.
Permission Boundary Testing
Evaluating whether agents respect authorization boundaries by systematically testing access controls, privilege escalation paths, and least-privilege adherence.
Sandboxing Effectiveness Evaluation
Measuring whether agent sandboxes actually contain behavior within intended boundaries, rather than merely claiming to do so.
Side Effect Evaluation
Measuring the unintended consequences of agent actions – environmental modifications, resource consumption, information leakage, and collateral changes beyond the scope of the requested task.
Trust Calibration Evaluation
Evaluating whether agents accurately communicate their confidence and limitations, so that users can make well-informed decisions about when to trust agent output.