AI agents are entering the enterprise — and they aren't just answering questions anymore.

They're accessing information, using applications, calling APIs, operating browsers, making decisions and increasingly taking action on our behalf.

So here's a deceptively simple cybersecurity question:

Who is the agent?

In this episode of AI Security Multipliers, Steve explores what happens when AI agents begin behaving less like traditional software and more like a digital workforce.

We look at why agentic AI creates a new identity and access management challenge, how AI agents differ from traditional service accounts and automation, and what happens when agents begin delegating work to other agents.

We also explore the coming challenge of Shadow Agents, agent lifecycle management, least privilege, Zero Trust, kill switches, accountability and the uncomfortable possibility that enterprises may eventually have far more AI identities than human ones.

Because securing AI agents isn't simply about controlling what information they can access.

It's about understanding who they are, what they're allowed to do, who owns them — and how you stop them when something goes wrong.

Your newest employee might not be human.

But they still need an access review.

Topics include: AI agents, agentic AI, enterprise AI, AI cybersecurity, AI governance, identity security, IAM, non-human identities, machine identities, Shadow AI, Shadow Agents, Zero Trust, least privilege, autonomous AI, AI risk management and the future of work.

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