Webinar Description
Key Takeaways
- Explores the operational realities of AI agent governance in enterprise environments
- Highlights the shift from treating agents as service accounts to managing them as first-class identities
- Demonstrates practical controls for agent discovery, authorization, and risk containment
- Features insights from Okta leadership on securing AI-driven workflows and employee experiences
- Addresses emerging challenges in agent-to-agent delegation and rogue agent mitigation
As AI agents become embedded in engineering, employee, and operational workflows, enterprises face new questions about control, accountability, and risk. The upcoming Okta Streamcast, “The Agentic Enterprise Blueprint: Every Agent Governed,” brings these issues to the forefront, offering a practical look at how organizations can secure and manage AI agents as core identities within their digital ecosystems.
Why Agent Governance Matters Now
AI agents are no longer confined to isolated tasks or backend automation. They now interact with sensitive data, make operational decisions, and even delegate actions to other agents. This evolution raises critical questions: Who authorized an agent’s actions? What systems can it access? How can organizations intervene if an agent’s behavior becomes risky?
Traditional approaches—relying on service accounts or static API keys—fall short in this new landscape. Enterprises need to treat agents as identities with clear ownership, traceable lineage, and dynamic authorization. This shift is essential for maintaining visibility and control as AI becomes more deeply woven into business processes.
From Blueprint to Practical Controls
The session will feature Todd McKinnon, CEO and co-founder of Okta, alongside Harish Peri, SVP and GM for AI Security. Together, they will move beyond theory, demonstrating how the agentic enterprise blueprint translates into actionable controls. Attendees will see how to:
- Identify and inventory AI agents across the organization
- Trace delegation paths and understand agent lineage
- Authorize agent actions based on real-time risk
- Implement containment strategies, including kill switches for rogue agents
Real-world examples will include securing AI coding assistants such as Claude Code, M365 Copilot, and Cursor, as well as governing agent-to-agent handoffs. The discussion will address both the technical and operational challenges of managing AI-driven automation at scale.
Industry Relevance and Forward Outlook
As organizations accelerate their adoption of AI, the need for robust agent governance is becoming a board-level concern. The ability to answer foundational questions—where agents are, what they can access, and what they are authorized to do—will define the next phase of secure enterprise operations. This session offers a timely exploration of these challenges, providing leaders with a blueprint for action as AI agents become integral to business strategy.