Treating AI agents as privileged identities is becoming a practical requirement, not a theoretical extension of identity security. Comments from CyberArk’s Rahul Dubey reflect a broader shift in privileged access management: the question is no longer whether an agent has an identity, but whether that identity is governed with the same discipline applied to an administrator.
The security challenge comes from capability. An AI agent may read source code, change cloud infrastructure, query production data, or invoke other tools on behalf of a user. If those permissions are inherited from a broad service account, the agent effectively becomes an unmonitored privileged account. Its speed and autonomy make excessive access more dangerous, while its non-human operating pattern makes conventional manager approvals and periodic reviews less useful.
PAM teams should begin by assigning ownership and purpose to every agent. A named business owner, documented task scope, approved tools, and defined expiry date create the accountability required for privileged account security. Agents that cannot be attributed to a team or workflow should be treated as unmanaged privilege, regardless of whether they are running in a development environment or a production platform.
Privilege elevation should be short-lived and contextual. Instead of granting an agent permanent administrator rights, a policy engine can issue access for a specific transaction, restrict the permitted commands, and revoke it immediately after completion. Risk signals such as the target environment, data sensitivity, unusual request volume, or a change in agent behaviour can require human approval before elevation is granted.
Session management also needs to evolve beyond recording a login. A useful agent session record should connect the initiating human or workflow to the agent identity, capture the instructions and tools used, and show the exact systems and data affected. This creates a defensible chain of accountability when an automated action is challenged or when investigators need to determine whether a request was manipulated.
For IAM practitioners, the operational implication is clear: include AI agents in the same inventory, access review, rotation, and incident-response processes used for privileged human and machine accounts. The organisations that do this early will be better positioned to scale agentic automation without normalising permanent, invisible privilege.
Source: GovCon Wire