The Artificial Intelligence Underwriting Company is building a standards, certification, and insurance framework for AI agents to unlock enterprise adoption. Rather than slowing deployment, the model aims to provide security and trust clarity—much as standards have enabled adoption in other industries—by establishing certification pathways and reducing the uncertainty that currently deters corporate teams from deploying AI agents.
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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.
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