An ontology-grounded verification framework now automates the creation of adversarial and regulatory test scenarios for AI agents. The system uses an Agent Operational Envelope to formalize safety properties and governance rules before production. This approach closes the gap between LLM benchmarks and deployment. Practitioners gain a structured method to certify agent autonomy and permissions.