Because they multiply the number of accounts, roles, tokens, and service identities that can reach regulated data. Once access paths are fragmented across platforms, organisations lose the ability to prove minimisation, detect misuse quickly, or produce a reliable breach narrative. The result is more exposure and less defensible evidence.
Why This Matters for Security Teams
identity sprawl turns privacy compliance from a recordkeeping exercise into a continuous control problem. As SaaS tools, integrations, and automation layers expand, regulated data can be reached by far more non-human identities than most inventories can reliably track. That makes it harder to prove minimisation, enforce least privilege, and show auditors a clean access story across the full data lifecycle.
This is not just a theoretical governance issue. NHI Management Group notes in the Ultimate Guide to NHIs that 96% of organisations store secrets outside secrets managers in vulnerable locations, which directly increases the number of uncontrolled access paths. Privacy teams then inherit evidence gaps because access is scattered across SaaS consoles, CI/CD systems, and service accounts that were never designed for defensible review. The NIST Cybersecurity Framework 2.0 emphasizes governance and continuous risk management, but that only works when the identity estate is knowable.
In practice, many security teams discover overexposure only after a privacy incident or access review has already forced a costly reconstruction of who could see what.
How It Works in Practice
As SaaS adoption grows, each application adds its own users, API keys, service accounts, OAuth grants, bots, and sync jobs. The compliance challenge is that these identities often live outside the central IAM program, yet they still access regulated data such as customer records, employee records, and telemetry that can become personal data in context. Once those paths are distributed, privacy controls have to operate across platforms rather than inside a single directory.
Current guidance suggests treating identity inventory as a privacy control, not just a security hygiene task. Teams need to know which identities exist, what data they can reach, who approved them, when they were last used, and whether they can be revoked quickly. That means connecting SaaS admin logs, secrets inventories, PAM where applicable, and lifecycle processes into a single reviewable model. The Lifecycle Processes for Managing NHIs guidance is useful here because offboarding and rotation are often where privacy evidence fails first.
- Catalog every non-human identity, including integrations created by business teams outside security.
- Map each identity to the data set, tenant, or system it can access.
- Replace standing long-lived access where possible with time-bound, task-specific credentials.
- Review OAuth grants, service principals, and delegated admin roles on a fixed schedule.
- Log revocation, rotation, and approval events so auditors can trace control operation.
Frameworks such as NIST Cybersecurity Framework 2.0 help structure this work, but the operational reality is that privacy compliance depends on identity observability across every SaaS boundary. The 52 NHI Breaches Analysis shows why this matters: exposed credentials and unmanaged service identities repeatedly become the path into regulated systems. These controls tend to break down when each SaaS tenant is administered independently because no single team can reconstruct effective access end to end.
Common Variations and Edge Cases
Tighter identity governance often increases operational overhead, so organisations have to balance privacy assurance against speed and integration flexibility. That tradeoff is especially visible in fast-moving SaaS environments where business teams self-provision tools and developers rely on machine-to-machine access to keep delivery moving.
Best practice is evolving for these edge cases. There is no universal standard yet for how every SaaS app should express machine identity, but the direction is clear: reduce standing privilege, prefer short-lived tokens, and make access reviewable at runtime rather than assumed from a static role. The biggest exception is legacy SaaS or third-party platforms that offer weak audit trails, limited token lifecycle controls, or poor support for granular scoping. In those environments, privacy compliance usually depends on compensating controls such as tighter PAM, network restrictions, and aggressive revocation discipline.
The practical lesson is that identity sprawl is not just more accounts. It is more evidence sources, more approval paths, and more ways for regulated data to be reached without a clean control narrative. That is why the privacy problem worsens as SaaS grows, even when no single application seems risky on its own.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10 address the attack and risk surface, while NIST CSF 2.0 and NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-01 | Identity sprawl creates unmanaged non-human identities and weak lifecycle control. |
| NIST CSF 2.0 | PR.AC-1 | Privacy compliance depends on knowing and restricting access paths across SaaS. |
| NIST AI RMF | Automated and agentic workloads expand identity scope and governance complexity. |
Use AI RMF governance to document ownership, oversight, and accountability for automated identities.
Related resources from NHI Mgmt Group
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on June 23, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
