Because hidden applications create hidden access paths, and hidden access paths bypass normal review and offboarding. CIO teams may see them as business enablement, while CISO teams see them as risk. If neither side owns discovery and closure, the organisation accumulates untracked entitlements and duplicated controls.
Why This Matters for Security Teams
shadow saas and unmanaged identities create an ownership gap, not just a visibility gap. When business units adopt tools without central review, access is often granted through ad hoc OAuth consents, shared admin accounts, or API keys that never enter standard IAM workflows. That leaves CIO and CISO leaders arguing over whether the issue is enablement or exposure, while the environment keeps accumulating hidden trust relationships.
This is exactly why NHI Management Group emphasises lifecycle control and auditability in the Ultimate Guide to NHIs — Lifecycle Processes for Managing NHIs and the Top 10 NHI Issues. The executive problem is that unmanaged identities do not stay local to a team. They bypass joiner-mover-leaver controls, complicate audit evidence, and make offboarding incomplete. NIST’s Cybersecurity Framework 2.0 treats visibility, governance, and risk ownership as core outcomes for a reason.
In practice, many security teams encounter the risk only after a SaaS admin leaves, a token is reused, or a routine review exposes dozens of unknown entitlements rather than through intentional discovery.
How It Works in Practice
Executive alignment improves when shadow SaaS is treated as an identity governance problem, not a procurement nuisance. The practical workflow starts with discovery: inventory SaaS apps, connected integrations, dormant service accounts, and any non-human access created outside the normal control plane. From there, teams classify each identity by business purpose, privilege level, data access, and revocation path. That classification gives the CIO a language for service enablement and gives the CISO a language for exposure reduction.
Operationally, the best practice is evolving toward a shared control model:
- Centralise discovery of SaaS apps and their connected NHI credentials.
- Require documented owner, business purpose, and data classification for each app.
- Map every token, key, or service account to a revocation and rotation process.
- Use least privilege and time-bound access instead of standing admin grants.
- Review third-party integrations as part of offboarding and vendor risk, not only IAM.
That approach aligns with the lifecycle emphasis in the NHI Lifecycle Management Guide and the audit perspective in Ultimate Guide to NHIs — Regulatory and Audit Perspectives. It also fits NIST CSF 2.0, which expects governance to be measurable, repeatable, and owned. The practical metric that matters is not how many apps exist, but how many identities can be fully traced from creation to revocation. These controls tend to break down in fast-moving SaaS sprawl because app adoption outpaces ownership assignment and no team wants to pause a live workflow to clean up access.
Common Variations and Edge Cases
Tighter control over shadow SaaS often increases friction for business teams, so organisations must balance speed of adoption against the cost of unmanaged access. That tradeoff is real, especially where departments rely on low-code tools, external collaborators, or temporary integrations to keep revenue operations moving.
There is no universal standard for this yet, but current guidance suggests three common exceptions need special handling. First, employee-owned productivity tools may be low risk until they connect to sensitive data, so the trigger is integration, not installation. Second, third-party automation platforms often look harmless until they inherit broad workspace permissions, which turns a convenience layer into a lateral-movement path. Third, legacy SaaS contracts may lack modern audit hooks, so the team may need compensating controls such as periodic access attestation and token expiry review.
For leaders looking for evidence, NHIMG’s research shows how often this problem is already embedded in the environment: only 5.7% of organisations have full visibility into their service accounts, and that blind spot is a major source of executive disagreement about scope and urgency. The underlying lesson in the Ultimate Guide to NHIs — Lifecycle Processes for Managing NHIs is that governance fails when discovery, ownership, and closure are split across different teams without a shared control objective.
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 and OWASP Agentic AI Top 10 address the attack and risk surface, while NIST CSF 2.0 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-01 | Shadow SaaS hides non-human identities and their ownership. |
| NIST CSF 2.0 | GV.OV-01 | Executive alignment depends on visible governance and risk ownership. |
| OWASP Agentic AI Top 10 | Unmanaged autonomous access patterns fit runtime trust risks. |
Treat every non-human access path as dynamic and require contextual review before granting broad permissions.
Related resources from NHI Mgmt Group
- Why do shadow SaaS apps create a governance problem, not just an IT inventory problem?
- Why do unmanaged SaaS apps create access risk even when SSO is in place?
- How can organisations reduce hidden risk in shadow SaaS and unmanaged entitlements?
- Why do shadow IT and SaaS sprawl create access risk for MSPs?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on June 11, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org