How should security teams position identity controls when traditional IAM leaves gaps in modern app access?

Security teams should treat identity as an access layer that must cover every sign-in across users, devices, apps, and services, not just directory authentication. The practical goal is to close gaps left by traditional IAM with controls for secure sign-in, visibility, and policy enforcement across the full access path. That matters most where SaaS sprawl and unmanaged access increase exposure.

Why This Matters for Security Teams

Traditional IAM was built to authenticate people and manage directory-driven access, but modern application access now includes SaaS integrations, service accounts, API keys, and automation paths that do not behave like human users. That creates blind spots in sign-in coverage, visibility, and policy enforcement. NHI Management Group research shows only 5.7% of organisations have full visibility into their service accounts, while 97% of NHIs carry excessive privileges, which is why access gaps become security gaps fast.

Security teams should position identity controls as a complete access layer, not a directory-only function. That means enforcing secure sign-in across users, devices, apps, and services while also governing non-human access paths with the same discipline applied to human identities. Guidance from NIST SP 800-53 Rev 5 Security and Privacy Controls and the OWASP Non-Human Identity Top 10 both point toward stronger access enforcement, but the operational challenge is connecting those controls to the full app estate.

In practice, many security teams encounter these gaps only after a service account, OAuth grant, or API key has already expanded access beyond what the directory ever intended.

How It Works in Practice

Positioning identity controls effectively starts with mapping every access path, not just login events. Security teams need to identify where humans authenticate, where applications authorize, and where NHIs such as service accounts, workload identities, and secrets are used to reach data or tools. The goal is to enforce policy at the access layer, then validate that policy continuously as the request moves through SaaS, cloud, and internal services.

A practical model includes secure sign-in, policy enforcement, and runtime visibility. For humans, that often means stronger authentication, conditional access, and session controls. For services and automation, it means short-lived credentials, workload identity, and explicit approval for machine-to-machine access. The Ultimate Guide to NHIs highlights why this matters: organisations frequently underestimate how many non-human identities exist and how much privilege they accumulate. That is why modern identity programs should treat secrets, tokens, certificates, and API keys as governed credentials, not passive configuration artifacts.

In practice, teams should also centralize visibility across SaaS apps and cloud services so they can detect unused access, overly broad scopes, and third-party integrations that bypass normal joiner-mover-leaver workflows. The strongest programs combine identity governance with monitoring, rotation, and revocation so access can be narrowed without waiting for periodic reviews. That aligns with the control intent behind 52 NHI Breaches Analysis and the access-control emphasis in NIST guidance.

These controls tend to break down when application owners create ad hoc integrations in SaaS platforms because identity teams do not own the full lifecycle of the resulting credentials and permissions.

Common Variations and Edge Cases

Tighter identity control often increases operational overhead, requiring organisations to balance stronger enforcement against developer speed, incident response needs, and legacy app constraints. That tradeoff is especially visible when older systems cannot support modern federation, short-lived tokens, or granular policy checks.

There is no universal standard for every app type yet. Current guidance suggests using the strongest available pattern per workload: federation where supported, workload identity where services can present cryptographic proof of what they are, and compensating controls where legacy systems still depend on static secrets. Some environments will also need exceptions for third-party vendors, embedded integrations, or cross-tenant SaaS access, but those exceptions should be explicit, monitored, and time-bound rather than assumed to be safe.

Security teams should also separate human identity governance from NHI governance while keeping both under one access strategy. Human accounts are usually easier to review, but machine identities often outlive projects, inherit broad scopes, and remain valid far longer than intended. For that reason, identity control should be measured not only by authentication success but by how quickly access can be discovered, constrained, and revoked across the full application path.

Related resources from NHI Mgmt Group

• Why do traditional IAM and SSO controls still leave access gaps in modern environments?
• How should security teams migrate identity governance from on premises platforms to cloud based identity security without disrupting access controls?
• How should security teams unify identity controls across human and non-human access in complex enterprise environments?
• Why do distributed supply chains increase identity and access risk for security teams?