The Artificial Intelligence Underwriting Company is developing a standards framework and certification approach to help enterprises safely adopt AI agents, drawing on a model that historically has unlocked adoption in other industries.

What happened

Emil Lassen, standards lead at the Artificial Intelligence Underwriting Company (AIUC), discussed how an enterprise flywheel of standards, certification, audit, and insurance is being applied to AI agents, including the AIUC-1 framework and the role of red teaming based on standards in securing agentic AI systems.

Why it matters

Enterprise adoption of AI agents is hindered by security and trust concerns—leaders report experiencing incidents regularly, and security teams feel exposed to emerging risks. A standards and certification model can provide clarity and reduce uncertainty for companies deploying these systems, rather than blocking adoption.

What to watch

The approach draws inspiration from historical precedent (Benjamin Franklin's mutual insurance model is referenced as foundational context) and aims to create practical, technical insights that feed into standards development. The conversation also explored how red teaming grounded in standards may accelerate enterprise confidence in agentic AI deployment.