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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

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

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.
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

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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