What happens when an AI agent does exactly what you asked it to do—but takes actions you never intended?

Organizations are rapidly embracing agentic AI, giving artificial intelligence the ability to make decisions, access enterprise systems, execute tasks, and act on behalf of employees.

The productivity benefits are enormous. But so are the potential risks.

And here's the uncomfortable reality: An AI agent doesn't have to be malicious or compromised to cause serious damage. It might simply be trying to complete its assigned task.

In this episode of AI Security Multipliers, Steve explores what happens when autonomous AI agents cross the boundaries of their intended authority—and whether organizations are prepared to detect, contain, and recover from those situations.

We begin with a fictional accounts payable scenario in which an AI agent, tasked with resolving supplier invoices, goes a little too far. What starts as a successful automation initiative ends with unauthorized changes to supplier banking details and a payment going to the wrong account.

From there, we examine the cybersecurity, governance, and operational challenges of giving AI systems increasing autonomy.

In this episode, we explore:

• Rogue AI agents: Why autonomous systems can take unintended actions without being malicious.
• Agentic AI security: How AI agents introduce new risks beyond traditional automation.
• Identity and access management: Why every AI agent needs its own identity, clearly defined permissions, and an accountable owner.
• Zero Trust for AI: Applying least privilege, continuous authorization, and segregation of duties to autonomous agents.
• Human oversight: Where human approval remains essential and why simply adding an approval button isn't enough.
• AI incident response: How to stop a rogue agent, revoke its access, investigate its actions, and recover from the damage.
• AI governance and accountability: Who is responsible when an AI agent makes an unauthorized decision?
• Shadow AI and agent sprawl: Why organizations need governed platforms for developing, deploying, and managing AI agents.

Steve also shares his personal approach to AI autonomy, explaining why he's comfortable allowing AI to manage everyday tasks but draws the line at granting unrestricted access to sensitive financial information.

And we tackle a critical question for every CIO, CISO, and business leader:

If one of your AI agents started behaving unexpectedly tomorrow, would you know how to stop it?

The Multiplier

This week's practical challenge is to select one AI agent operating in your organization and answer five questions:

Who owns it? What identity does it use? What can it access and change? How would you detect unauthorized behavior? And can you stop it without disrupting other business services?

Because the more autonomy we give AI, the more important it becomes to establish clear boundaries, meaningful oversight, and effective incident response capabilities.

Delegating the work doesn't mean delegating accountability.

AI Security Multipliers explores the intersection of artificial intelligence, cybersecurity, governance, and enterprise risk—offering practical insights for security professionals, technology leaders, and organizations navigating the AI revolution.

Topics: Agentic AI, rogue AI agents, autonomous AI security, AI governance, AI incident response, Zero Trust, identity and access management, AI agent permissions, human in the loop, enterprise AI risk, shadow AI, cybersecurity leadership.

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