In this episode of the Targeting AI podcast from AI Business, host Esther Shittu interviews Oren Michels, of 2024 startup Barndoor.ai, an AI data and access management vendor, about how to effectively secure enterprise agentic and generative AI systems. The approach is different from traditional cybersecurity paradigms designed to prevent outside intruders from doing harm within an organization's IT system, according to Michels. With agents, security procedures need to focus on the agents themselves to ensure they are performing as their human counterparts intend. The podcast was recorded at the AI Summit conference in New York City on Dec. 10.

Featuring Oren Michels, founder and CEO of Barndoor.ai

In this episode, we cover:

How enterprises can secure agentic and generative AI systems.
What mistakes businesses make that make them vulnerable to security threats to AI systems.
Some of the biggest security threats to large-scale business users of generative and agentic AI technology.
How to use the Model Context Protocol standard with cybersecurity measures to protect and govern AI agents.

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References:

Securing autonomous enterprise agents in the age of generative AI