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.
To learn more about security for generative and agentic AI systems, check out AI Business, and please subscribe to our newsletter to keep up to date on the most important AI news.
To watch video clips from our podcast, subscribe to our YouTube channel, @EyeonTech.
References:
- AI Agent Security: Whose Responsibility Is It?
- Governance Is Top Priority for Companies Using Agentic AI: Survey
- What Agentic AI Means for Cybersecurity
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