Mastering Agentic AI: Governance, Trust, and Enterprise Success with Barndoor AI CEO and Founder Oren Michels

2026-04-29 · Source: The Pulse of AI · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cybersecurity & Data Privacy, Cloud Computing & IT Infrastructure · Depth: Intermediate, extended

Summary

Oren Michels, co-founder and CEO of BarnDoor AI, discussed the evolving landscape of agentic AI, governance, and trust in enterprises during an interview on "The Pulse of AI" podcast, Season 8, Episode 165. BarnDoor AI, founded in 2024, provides a centralized control plane for agentic AI, offering IT and security teams visibility and fine-grained access control over AI agents across various tools and platforms. Michels highlighted the tension between innovation and security, emphasizing that CISOs can become catalysts for AI adoption by enabling safe implementation through robust governance. He also introduced Venn.ai, a single-user version for secure, governed access to agentic AI in workplace apps. The discussion covered the company's mission, its approach to AI governance, and advice for enterprise leaders on managing AI risks and fostering adoption.

Key takeaway

For CTOs and VPs of Engineering navigating enterprise AI adoption, prioritize implementing a centralized control plane for agentic AI. This approach allows for fine-grained policy management and visibility, transforming security from a blocker to an enabler. Your teams can then safely experiment with and deploy AI agents, accelerating productivity while mitigating risks, rather than facing uncontrolled shadow AI deployments.

Key insights

Effective agentic AI adoption in enterprises requires robust governance and fine-grained access control to build trust and manage risks.

Principles

• Identity alone is insufficient for agentic AI governance.
• Least privilege principles apply directly to AI agents.
• CISOs can catalyze AI adoption through proactive governance.

Method

BarnDoor AI's approach involves providing a control plane that enables fine-grained policy setting for AI agents, defining what they can do with specific tools and data, moving beyond basic identity-based access.

In practice

• Implement fine-grained policies for AI agents.
• Use a centralized control plane for agent visibility.
• Pilot AI initiatives with strong IT and security collaboration.

Topics

• Agentic AI Governance
• Enterprise AI Adoption
• BarnDoor AI Platform
• CISO Challenges
• AI Trust and Security

Best for: CTO, VP of Engineering/Data, Executive, Director of AI/ML, AI Security Engineer, AI Architect

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Editorial summary, takeaway, and curation by AIssential. Original article published by The Pulse of AI.