Find out how Zero Standing Privilege (ZSP) and AI-era hygiene best practices can be implemented to contain this severe emergent risk.

For years, enterprise security has quietly tolerated a dangerous convenience: grant access once, then leave it in place indefinitely.

Standing privilege — long‑lived permissions for users, applications, and service accounts — had already been an uncomfortable fit for cloud‑first, zero‑trust environments… now, in the age of AI agents, it is becoming indefensible, according to Alex Lei, Senior Vice President (APJ), Saviynt.

“An AI agent with standing privilege isn’t just a power user… it’s effectively a ghost administrator: highly privileged, always on, and largely invisible to the human controls we rely on for normal users,” Lei noted.

Unlike human employees who log in, complete tasks, and sign out, autonomous AI agents are designed to run continuously. They traverse data, reason over it, and act across multiple systems at once. Give such an agent broad, permanent access to your core business systems and cloud storage, and you have not just another privileged user – you have a permanent attack surface that never clocks out.

Non‑human identities are outpacing governance

AI agents are no longer confined to innovation labs. Lei quoted some surveys suggesting a growing gap between the rising use of AI in autonomous or self‑optimizing ways, and a lag in AI governance and compliance skills perspectives for emerging AI regulations. That gap is showing up most starkly in identity.

Non‑human identities — service accounts, workloads, bots and now AI agents — are becoming the fastest‑growing, least‑governed identity category in many environments. They often inherit privileges comparable to senior administrators but are created and wired together at high speed, with far less scrutiny than human admin accounts receive.

According to Lei, “A lot of organizations have done the hard work for human admins — approvals, re-certifications, monitoring, but the AI agents plugged into those same systems don’t always get the same treatment, even when they can see more and do more than any one human.”

Moving towards Zero Standing Privilege

One emerging answer is to stop treating “least privilege” as a one‑time configuration exercise and instead remove standing privilege altogether. This approach, often called Zero Standing Privilege (ZSP), aims for an environment where no account — human or machine — retains persistent privileged access by default.

Under a ZSP model:

• Privileges are not left “always on”; they are granted just‑in‑time for a specific task, then expire automatically
• Credentials or tokens are short‑lived and tied to a particular context (for example, a change ticket or deployment pipeline), not to a generic admin role
• Both human and non‑human identities are governed under the same policy framework: high‑risk access requires justification, time limits, and monitoring, regardless of whether a person or an agent is asking

Lei added: “Least privilege is still critical, but granting it once and forgetting about it doesn’t work for autonomous software. For AI agents, even minimal persistent access can be too much. You want access that is temporary, contextual, and continuously verified.”

Steps for managing AI agent access

For teams trying to get ahead of AI‑driven identity risk, the path is less about chasing new buzzwords and more about tightening basic controls around non‑human identities. Lei recommends current guidance from regulators and independent researchers, noting several pragmatic steps:

• Discover and classify AI agents and service accounts. Build and maintain an inventory of non‑human identities, what systems they touch, and which secrets they use.
• Retire dormant and unused identities. Remove or disable service accounts, keys, and agent configurations that are no longer necessary; each is an extra standing entry point.
• Tighten scope and duration of access. Restrict AI agents to the minimum data and actions needed, and move toward just‑in‑time access for sensitive operations wherever tooling allows.
• Align incident response to machine speed. Treat a compromised AI agent as a high‑impact event and pre‑plan rapid containment actions: revoke tokens, rotate keys, and isolate affected systems.
• Apply consistent governance across humans and machines. Subject high‑risk AI agents to the same joiner–mover–leaver, approval, and monitoring controls you use for human administrators.

The underlying shift is simple but uncomfortable: identity security can no longer assume that high‑risk identities always have human faces. AI agents are becoming some of the most privileged and least‑governed actors in enterprise environments. Reducing their standing privilege — and replacing it with short‑lived, governed access — is quickly becoming less of a best practice and more of a survival trait.