As AI Agents Rise, Security Must Come First with Nick SteeleIn this episode of the Inverted Podcast, hosts Jeroen Kemperman, Dana Kaufman, and Dario Salice are joined by Nick Steele from OpenAI to explore one of the most important challenges in AI today: identity, permissions, and security for autonomous agents.

The conversation starts with real-world incidents where AI agents caused major operational issues—including deleting critical resources—and expands into a broader discussion about why traditional security models don't fully apply to AI agents. Nick explains how agents differ from conventional software, why permissions should be tied to tasks rather than identities, and how concepts like least privilege, delegation, human-in-the-loop approvals, OAuth, MCP, FIDO, and emerging identity standards can help organizations safely adopt agentic systems.

Whether you're building AI products, managing enterprise security, or preparing your applications for a future filled with autonomous agents, this episode offers practical guidance on what changes, what stays the same, and how to build for an agent-driven world.

Topics covered:

➡️ Why AI agents behave differently from traditional software

➡️ The risks of over-permissioned agents

➡️ Human-in-the-loop security models

➡️ Delegation vs. impersonation

➡️ Agent identity and access management

➡️ MCP, OAuth, and emerging standards

➡️ How companies should prepare their products for agents

➡️ Designing "happy paths" for AI-driven interactions

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