An ontology-grounded verification framework now automates the creation of adversarial and regulatory test scenarios for AI agents. This system uses an Agent Operational Envelope to formalize safety properties and autonomy levels before production. It closes the gap between LLM benchmarks and deployment. Practitioners can now certify agent behavior against strict governance rules.