Subvolts take Learn how enterprise frameworks build trust for AI agents, accelerating adoption. Jun 25, 2026 - Developers
- Learn about enterprise requirements for securing and trusting AI agentic systems.
- Business
- Understand how standards, audit, and insurance can accelerate AI agent adoption in your enterprise.
This episode features a practical discussion on enterprise AI agent trust and adoption, relevant to current industry needs.
AIUC-1: Building trust in AI agents
Audio streams from Daniel Whitenack and Chris Benson. Your place is remembered on this device.
From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
In this Practical AI episode, Emil Lassen of the Artificial Intelligence Underwriting Company discusses building trust in AI agents. The conversation covers how enterprise standards, certification, audit, and insurance apply to AI agents. They explore the AIUC-1 framework, challenges in securing agentic AI, and the role of red teaming in accelerating AI adoption.
This episode explains how companies can create trust in AI systems that act on their own. It covers a process using standards, checks, and insurance to make AI agents reliable for businesses.
This episode offers insights into establishing trust and security for AI agents, a critical step for enterprise adoption. It is for business leaders and AI professionals concerned with deploying AI safely. The discussion on standards and auditing connects to ongoing efforts by frontier labs like Google Gemini and OpenAI to develop responsible AI frameworks and ensure their models can be safely integrated into business processes.
- HostDaniel Whitenack
- HostChris Benson
- GuestEmil LassenArtificial Intelligence Underwriting Company
- Guest: Emil Lassen
- Title: AIUC-1: Building trust in AI agents
- Show: Practical AI
- Length: 45 minutes
- Framework discussed: AIUC-1
Chapters from the publisher ↗ · Transcript ↗ Key moments and transcript search come with a later piece.
How do we build trust in AI agents before the AI hailstorm arrives? Emil Lassen from the Artificial Intelligence Underwriting Company (AIUC) joins the show to discuss how the enterprise flywheel of standards, certification, audit, and insurance is being applied to AI agents. They explore the AIUC-1 framework, the challenges of securing agentic AI systems, and why red teaming (based on standards) may be key to accelerating enterprise AI adoption.
Featuring:
Links:
Sponsors:
- Framer: The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalai
- Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalai
Upcoming Events:
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- Midwest AI Summit 2026
- AI agents
- Emil Lassen
- AI systems that can act on their own to perform tasks.
- agentic AI
- Emil Lassen
- AI systems designed to operate autonomously and make decisions.
- red teaming
- Emil Lassen
- Testing AI systems by trying to find their weaknesses or failures.
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Questions people ask
- What is the AIUC-1 framework?
- The AIUC-1 framework is discussed as part of applying enterprise standards, certification, audit, and insurance to AI agents.
- How can red teaming help AI adoption?
- Red teaming, based on standards, may be key to accelerating enterprise AI adoption, according to the discussion.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Daniel Whitenack and Chris Benson.