AI is no longer just a supporting tool — it’s becoming a semi-autonomous actor. AI agents are now automatically accessing systems, interacting with data, making decisions, and taking actions with little or no human interaction. But, as agentic AI adoption accelerates, identity and access management related challenges become critical. Misbehaving AI agents can do as much or more damage as individual human “agents”.
A recent survey shows that 91% of organizations already use AI agents, yet 44% lack any formal governance. This creates blind spots, compliance risks, and an entirely new class of security and identity threats.
Agentic AI introduces unique challenges that traditional identity systems were not built to handle: weak authentication practices, stale permissions, unauthorized data access, malware agents, and lack of visibility, to name just a few. And of course, attackers are now using AI not just to assist — but as central components of their attacks.
Securing this new AI agent ecosystem requires a unified, identity-centric approach: managing agents as first-class entities within your identity fabric, enforcing lifecycle controls, and integrating governance directly into how agents are built, deployed, and monitored.
Matthew Gardiner, Analyst at KuppingerCole, will examine the rise of AI agents and how AI is changing the nature of both general security and identity specific threats, the governance challenges of agentic systems, and the emerging best practices for secure AI adoption.
Arkadiusz Krowczynski, Principal Product Acceleration Specialist at Okta, and Michael Pattison, Senior Solutions Engineer at Okta will present how Okta’s cross-platform approach extends identity protection to AI agents. They’ll demonstrate how Okta helps organizations secure agents throughout their lifecycle across four critical phases — Detect & Discover, Provision & Register, Authorize & Protect, and Govern & Monitor — integrating seamlessly into existing identity and security frameworks.
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