How do you know if access controls are too friction-heavy to work in practice?

Why This Matters for Security Teams

Frustration with access controls is often a design signal, not a user-experience complaint. When approvals are slow, exceptions are routine, or people route around policy to get work done, the control is consuming more operational energy than it returns in risk reduction. That matters because overbearing controls often create shadow processes, which reduce visibility and make enforcement weaker, not stronger.

This is especially true in NHI-heavy environments, where service accounts, API keys, and automation pipelines need access at machine speed. NHI Management Group notes that only 5.7% of organisations have full visibility into their service accounts in the Ultimate Guide to NHIs, which means friction is frequently introduced before teams even know what is being protected. If the control path is harder than the business process, people will improvise around it.

Current guidance suggests the right question is not whether a control feels strict, but whether it is enforceable during normal operations. In practice, many security teams discover the mismatch only after work has already shifted to bypass channels, rather than through intentional control testing.

How It Works in Practice

The practical test for friction-heavy access control is whether the policy still works when applied at production speed. Strong controls should reduce unnecessary privilege without creating repeated manual interventions for routine tasks. In environments with human and non-human identities, that usually means combining least privilege with better targeting, not simply adding more gates.

For example, a request process that requires multiple approvals for every API token change may look rigorous, but if deployments happen hourly, teams will eventually hard-code tokens, reuse credentials, or request standing access to avoid delays. That is why standards such as the OWASP Non-Human Identity Top 10 and NHI-focused research both emphasize lifecycle control, rotation, and visibility rather than static permission lists alone. The issue is not just whether access is allowed, but whether the allowance can be granted, monitored, and revoked fast enough to match the workflow.

A useful operational model is:

• Measure how often users or systems need exceptions to complete legitimate work.
• Check whether access reviews remove useful access or merely create paperwork.
• Track support tickets tied to authentication, authorization, and token renewal.
• Compare the time to approve access with the time value of the business task.
• Look for compensating behaviour such as shared accounts, cached secrets, or delayed deployments.

Where possible, replace broad permanent access with just-in-time grants, scoped secrets, and policy checks that evaluate context at request time. This is consistent with the operational concerns highlighted in the Ultimate Guide to NHIs — Key Challenges and Risks, especially where secret sprawl and poor rotation already increase the cost of every access decision. These controls tend to break down when approvals depend on a small number of humans because bottlenecks then become the default workaround.

Common Variations and Edge Cases

Tighter access control often increases coordination cost, requiring organisations to balance risk reduction against delivery speed and operational resilience. That tradeoff is real, and current guidance suggests there is no universal threshold that defines “too much” friction.

Some environments can tolerate more control overhead than others. PCI-dense payment workflows, for example, may justify stricter review and narrower entitlement windows than a low-risk internal analytics job. But even in regulated environments, controls that force repeated manual approval for stable, routine access usually age poorly. The better pattern is to make the frequent path low-friction and the exceptional path high-friction.

Friction also looks different for humans and NHIs. Human users can wait for an approval queue, but agents, CI/CD jobs, and integration services often cannot. In those cases, policy that is not automation-friendly is effectively nonfunctional. NHI Management Group’s 52 NHI Breaches Analysis shows how control gaps become incident paths when identities are left exposed or unmanaged. The practical fix is not to remove governance, but to shorten the control loop so the policy fits the operating rhythm.

Best practice is evolving, but the clearest warning sign is persistent workarounds. If the control only works after people have been trained to ignore it in practice, it is already too heavy.

Related resources from NHI Mgmt Group

• How do you know if a service desk workflow is actually improving access control?
• When should organizations review access controls?
• How do you know if AI access controls are actually working?
• What breaks when access controls create too much friction?