AI agents are becoming part of the enterprise workforce, but many organizations still do not know where those agents are, what they can access, or what they are allowed to do. 

In this ClearTech Loop Special Edition sponsored by Okta, Jo Peterson speaks with Matthew Hansen, Regional Chief Security Officer and Head of Customer Audit at Okta, about the identity challenge behind agentic AI. 

They discuss Okta’s AI Blueprint, Okta for AI Agents, and why enterprises need to treat AI agents as first-class, non-human identities with clear ownership, lifecycle management, runtime enforcement, and a way to revoke access fast when something goes wrong. 

EPISODE DESCRIPTION: 
Agentic AI is creating a new security problem: identity sprawl. 

AI agents can connect to systems, access data, trigger workflows, and act on behalf of users. But if organizations cannot see those agents, govern their access, or understand what they are doing, productivity gains can quickly turn into security risk. 

In this episode, Jo Peterson talks with Matthew Hansen from Okta about how organizations can move from Shadow AI and unmanaged agent activity toward verified, governed AI environments. 

The conversation covers: 

• Why every AI agent needs an identity 
• How Shadow AI extends beyond employee chatbot use 
• The three questions organizations need to answer: where agents are, what they connect to, and what they can do 
• Why static credentials and broad permissions create risk 
• How runtime enforcement and human-in-the-loop controls help govern agent behavior 
• Why an AI kill switch may become a critical backstop for enterprise AI 

This ClearTech Loop Special Edition is sponsored by Okta. 

Learn more about Okta for AI Agents: https://www.okta.com/products/govern-ai-agent-identity/

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