Topic starter
25/06/2026 12:29 am
TL;DR: Cloud PAM is moving privileged access away from vault-centric, long-lived credentials toward just-in-time, ephemeral permissions as AI workloads and non-human identities scale, according to Apono. That shift matters because legacy PAM assumptions break when service accounts, APIs, and AI agents need fast, auditable access at machine speed.
Editorial analysis by NHI Mgmt Group, based on content published by Apono: “8 Best Cloud PAM Solutions in an AI World”.
By the numbers:
- 82% of companies deploy autonomous AI agents, but 23% of IT teams admit those bots have already been tricked into revealing credentials.
- Machine identities now outnumber humans 80:1 in modern infrastructure.
Key questions
Q: What breaks when cloud PAM still relies on vault-centric, long-lived credentials for AI workloads?
A: Static vault models assume access is requested infrequently and held long enough to be reviewed later.
Q: Why do service accounts and AI agents need different controls from human users?
A: Service accounts and AI agents authenticate and act without the predictable patterns that human identity systems expect.
Q: How can security teams tell whether JIT access is really removing privilege?
A: Check whether the workflow provisions permissions only for the task and removes them when the task ends.
Practitioner guidance
- Map standing privilege across machine identities Inventory service accounts, API keys, ML pipelines, and AI agents that still rely on persistent credentials or broad default roles.
- Move privilege issuance to JIT workflows Replace shared vault retrieval paths with time-bound access requests that expire automatically and are tied to a specific task, session, or workload context.
- Require audit trails for every machine grant Ensure each access event records the requester, the business or operational purpose, the scope granted, and the revocation point so reviews can reconstruct what the workload actually did.
Bottom line: Cloud PAM is shifting because AI workloads and non-human identities need access that is issued and revoked at runtime, not stored as standing privilege in a vault.
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25/06/2026 9:25 am
Vault-centric PAM is being outgrown by machine-paced privilege demand. Traditional privileged access controls were designed around human approval cycles and reusable secrets. AI workloads, service accounts, and pipeline identities now need access that starts and ends with a task, which means the old storage-first model no longer matches the operating environment. Practitioners should treat this as a structural governance shift, not a product preference.
A few things that frame the scale:
- 53% of security leaders expect AI to run major portions of their infrastructure autonomously within the next three years, according to the 2026 Infrastructure Identity Survey.
- 19% of organisations give AI systems dramatically more access than human employees, nearly one in five granting unrestricted privilege, according to the 2026 Infrastructure Identity Survey.
A question worth separating out:
Q: What should teams do when human admin access and machine access share the same PAM model?
A: Separate them quickly. Human administration and machine privilege have different timing, review, and revocation needs, so a shared model usually hides over-permissioning and makes audit evidence harder to interpret. Distinct policy paths make it easier to govern workload access without weakening human control.
👉 Read our full editorial: Cloud PAM for AI workloads is shifting from vaults to JIT access