Why do traditional IGA and PAM approaches struggle in cloud environments with non-human identities?

Traditional IGA and PAM were built around stable enterprise applications and human user patterns. Cloud access is more dynamic, distributed, and identity dense, with many paths into infrastructure and data. Non-human identities also change faster than legacy governance models can track, so organisations need controls designed for cloud-native access, not retrofitted perimeter assumptions.

Why This Matters for Security Teams

Traditional IGA and PAM were designed for relatively stable users, accounts, and approval flows. Cloud environments break that model because non-human identities are created, cloned, rotated, and deleted by automation, often outside central review. The result is not just more identities, but more ways for secrets, tokens, and service permissions to drift beyond intended scope.

This gap shows up in real incidents. NHIMG research on the Snowflake breach and the BeyondTrust API key breach illustrates how fast-moving cloud access can be abused when credentials are long-lived or poorly scoped. The broader pattern is visible in NIST guidance too: NIST SP 800-53 Rev 5 Security and Privacy Controls assumes control discipline, but cloud-native workload identity requires much faster operational enforcement than legacy governance cycles usually deliver.

Aembit’s 2024 Non-Human Identity Security Report found that 88.5% of organisations say their non-human IAM practices lag behind or merely match human IAM, which is a strong signal that the old model is not keeping pace. In practice, many security teams discover over-privileged cloud identities only after a secret is reused, a pipeline is compromised, or a workload begins acting outside its expected boundary.

How It Works in Practice

The core issue is that IGA and PAM are built around static entitlement records and pre-approved access paths, while cloud workloads behave more like code than people. A service account may need access for one deployment, one API call, or one short-lived automation run, then no access at all. That means governance has to move from periodic certification to runtime decisions.

For cloud environments, current guidance suggests combining workload identity, just-in-time credential issuance, and policy evaluation at request time. Workload identity proves what the workload is, while JIT provisioning narrows how long it can act. This is the practical difference between handing out a shared secret and issuing an ephemeral token tied to a specific task. Frameworks such as SPIFFE and SPIRE are commonly used to establish cryptographic workload identity, and policy engines such as OPA or Cedar can evaluate whether the requested action matches the workload’s context.

A useful operational pattern looks like this:

• Issue short-lived credentials per task instead of standing access for every workload.
• Bind permissions to workload identity, not only to account names or source networks.
• Evaluate access at runtime using context such as environment, service, destination, and action.
• Revoke or expire secrets automatically when the task, pod, or pipeline completes.
• Log every identity-to-service transaction so drift can be detected quickly.

This is why traditional PAM often fails in Kubernetes, serverless, CI/CD, and multi-account cloud estates. Those environments create identities too quickly for manual approval workflows, and their access paths are too transient for quarterly review cycles. The 2024 Non-Human Identity Security Report notes that 35.6% of organisations struggle most with consistent access across hybrid and multi-cloud environments, which matches what security teams see when secrets spread through automation layers faster than governance can classify them. These controls tend to break down when workloads are orchestrated across ephemeral containers and multiple clouds because identity state changes faster than review and vaulting processes can follow.

Common Variations and Edge Cases

Tighter cloud identity control often increases operational overhead, so organisations have to balance stronger containment against deployment speed and engineering friction. That tradeoff is real, especially in CI/CD pipelines, autoscaling services, and platform teams that expect frictionless automation.

Best practice is evolving, and there is no universal standard for every cloud pattern yet. For high-risk workloads, ephemeral secrets and workload-bound tokens are usually the safest default. For lower-risk internal automation, some organisations still use managed service accounts or central vaulting, but only if rotation, scope reduction, and revocation are reliable.

The edge cases are where legacy IGA and PAM fail most clearly:

• Multi-cloud access where one identity touches AWS, Azure, and SaaS APIs through different control planes.
• Machine-to-machine workflows that span humans, agents, and automation, making approvals meaningless without runtime context.
• Break-glass access paths that become permanent because no one retests the revocation process.
• Shared secrets embedded in scripts, plugins, or build tooling, which collapse accountability even if the vault is strong.

NHIMG research on the JetBrains GitHub plugin token exposure and Azure Key Vault privilege escalation exposure shows how quickly identity controls can fail once secrets are embedded in tooling or access is granted too broadly. The right model is not “more PAM,” but narrower, shorter-lived, and context-aware access that can keep up with cloud change. Static governance looks effective on paper, then fails when an automation path quietly persists longer than the workload it was meant to serve.

Related resources from NHI Mgmt Group

• How should security teams govern non-human identities in cloud environments?
• Why do non-human identities create audit risk in modern environments?
• Why do cloud, SaaS sprawl, and non-human identities make traditional IAM and IGA harder to manage?
• Why do non-human identities create more operational risk when organisations scale AI and cloud adoption?