Toward Pre-Deployment Assurance for Enterprise AI Agents: Ontology-Grounded Simulation and Trust Certification
Quick Answer
This paper shows that A novel ontology-grounded verification framework for enterprise AI agents enhances pre-deployment assurance, achieving 48.3% regulatory coverage compared to 33.1% for persona-based methods.
Quick Take
Tested across Fintech, Banking, Insurance, and Healthcare, it generated 1,800 scenarios against 125 regulatory requirements.
Key Points
- Framework includes Agent Operational Envelope, scenario generation, and Trust Certificate.
- Pilot study involved 1,800 scenarios across four regulated industries in the US and Vietnam.
- Ontology-grounded generation outperformed persona-based methods in regulatory coverage.
- Cross-validation with three families confirmed the effectiveness of the approach.
- Results suggest a robust method for regulatory-intensive AI deployment.
Paper Resources
Source Excerpt
From the original publisher, up to about 700 charactersarXiv:2606. 04037v1 Announce Type: new Abstract: Pre-deployment verification of enterprise artificial intelligence (AI) agents remains a critical gap between (LLM) capability benchmarking and production deployment. Post-deployment monitoring, human-in-the-loop controls, and prompt-level guardrails offer limited assurance once an agent is operating in production. …
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