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Practical AI · June 25, 2026 · 45m

AIUC-1: Building trust in AI agents

Emil Lassen from the Artificial Intelligence Underwriting Company joins Daniel Whitenack to discuss building trust in AI agents. They explore the AIUC-1 framework, which applies the enterprise flywheel of standards, certification, audit, and insurance to AI systems. Red teaming, based on these standards, is proposed as a key method to accelerate enterprise adoption by proactively identifying vulnerabilities.

This summary was generated from show notes and public descriptions, not from a full transcript review. Details may contain inaccuracies.

Curious

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Enterprise Trust Flywheel for AI Agents
The AIUC-1 framework applies a flywheel of standards, certification, audit, and insurance to build trust in AI agents, modeled after how other industries establish safety and reliability.

Highlights

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Red Teaming as an Accelerator for AI Adoption
Structured red teaming exercises based on defined standards can identify vulnerabilities in AI agents and build confidence for enterprise deployment.
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The Challenge of Securing Agentic AI Systems
Agentic AI systems that take autonomous actions in the real world present unique security challenges compared to traditional applications.

Editorial

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The AI Hailstorm Metaphor
Emil Lassen uses the term 'AI hailstorm' to describe the impending rush of AI agent adoption that enterprises will face.
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