Agentic AI,
systems that can autonomously plan and execute multi-step tasks, is being
adopted by employees and developers at a pace that has outrun most
organizations' ability to govern it. Unlike a chatbot that simply answers a
question, an AI agent can take actions: writing and deploying code, accessing
internal systems, or making decisions with real consequences.
The rise of
no-code and low-code platforms, along with so-called vibe coding, has
accelerated this trend further. Employees can now spin up AI agents without
involving security or IT, creating unmanaged, unsecured automation that
operates with whatever permissions it was granted, often more than it actually
needs.
This creates
a genuine identity crisis for security teams. Traditional identity and access
management was built around human users logging in with a username and
password. It was never designed for thousands of ephemeral, autonomous,
non-human actors that need credentials, permissions, and oversight of their
own.
Organizations
that get ahead of this will treat AI agents the way they treat employees: with
onboarding, defined permissions, monitoring, and an offboarding process when an
agent is retired. Those that don't risk a sprawling, invisible attack surface
made up of agents nobody remembers creating.
Key Takeaways
•
Build and maintain a live inventory of every AI agent
operating in your environment, sanctioned or not
•
Extend identity and access management frameworks to
cover machine and agent identities, not just humans
•
Develop incident response playbooks specifically for a
compromised or misbehaving AI agent
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