TL;DR: Gartner IAM 2025 highlighted a market shift toward Identity Visibility and Intelligence Platforms, continuous identity security, and modern authorization patterns as enterprises confront 82:1 non-human identity sprawl and 99% over-permissioned service accounts, according to Zluri. The governance model is changing because visibility now has to precede review, certification, and enforcement.
At a glance
What this is: This analysis says identity governance is shifting toward identity visibility and intelligence because traditional IGA cannot govern assets and access it cannot reliably discover.
Why it matters: IAM, IGA, and NHI teams need to treat discovery and visibility as the front end of governance, or they will keep certifying incomplete inventories and over-permissioned access.
Context
Identity visibility is the ability to discover applications, accounts, permissions, and ownership relationships before governance workflows begin. In enterprise IAM, that matters because access reviews only work when the inventory is accurate enough to review.
The article argues that legacy IGA assumed organisations already knew what existed, who owned it, and how access was granted. That assumption is increasingly false in SaaS-heavy environments where shadow applications, service accounts, and machine identities sit outside traditional control planes.
Key questions
Q: How should IAM teams sequence identity visibility and governance?
A: Start with discovery and ownership mapping, then use that inventory to drive certifications, policy reviews, and access enforcement. If governance starts before visibility, teams end up certifying partial data and missing hidden applications, orphaned entitlements, and unmanaged non-human identities.
Q: Why do non-human identities create more IAM risk than many teams expect?
A: Because they are numerous, long-lived, and often poorly owned. Credentials can be embedded in code, reused across systems, or left active after the original purpose ends. That creates hidden trust paths that traditional user-centric IAM processes do not fully see or retire.
Q: What are the warning signs that non-employee identity governance is failing?
A: Common signs include not knowing how many non-employee identities exist, finding duplicate or shared accounts, and seeing access that no longer matches sponsor ownership. When those signals appear, the governance model is already drifting away from the actual identity estate. A healthy programme can reconcile identities, sponsors, and entitlements at the same time.
Q: How should organisations move from periodic access reviews to continuous identity governance?
A: Start by treating certification campaigns as validation, not detection. Then connect entitlement changes, exceptions, and revocations to real-time policy checks so the programme can prove enforcement at the moment access changes. That shift matters most where service accounts, tokens, and privileged roles can drift faster than a review cadence.
Technical breakdown
Why legacy IGA breaks when discovery is incomplete
Traditional IGA assumes the environment is already mapped well enough to support access request, certification, and policy enforcement workflows. In practice, unknown SaaS, orphaned accounts, and disconnected ownership data mean the governance layer is operating on partial truth. Once discovery lags reality, recertification becomes an administrative exercise instead of a control. The article’s core argument is sequencing: visibility has to precede governance if the inventory itself is unstable.
Practical implication: treat discovery coverage as a prerequisite control, not a reporting convenience.
Non-human identity sprawl and over-permissioning
The article ties identity visibility to the rise of non-human identities, including service accounts, pipelines, and other machine credentials that now outnumber humans in many environments. These identities often persist longer than their use case, inherit broad permissions, and remain invisible to business owners who can certify human access but not machine access. That creates a governance blind spot where privilege accumulates outside the normal IGA lifecycle. Visibility-first programmes are trying to close that gap by identifying the full machine identity estate before governance action starts.
Practical implication: extend inventory, ownership, and entitlement review processes to machine identities, not just employees.
Continuous identity security and modern authorization
The shift from periodic review to continuous identity security changes how authorisation is governed. The article links this to ISPM and to newer models such as ABAC, ReBAC, and policy-based authorisation, where decisions depend on context rather than static roles alone. That matters because distributed, API-driven systems need high-frequency, explainable decisions across humans and NHIs alike. Visibility is the dependency that makes those decisions auditable and defensible.
Practical implication: align authorization data, entitlement visibility, and policy review so governance can operate continuously rather than in quarterly batches.
Threat narrative
Attacker objective: The objective is to exploit governance blind spots created by hidden applications, over-permissioned service accounts, and incomplete identity inventories.
- Entry occurs through identities and applications that were never fully discovered by the governance stack, so they sit outside standard review and ownership processes.
- Privilege persists because service accounts and other non-human identities inherit broad permissions and are rarely revalidated with the same rigor as human access.
- Impact follows when over-permissioned identities and hidden SaaS assets expand the attack surface beyond what the IAM programme can see or certify.
Breaches seen in the wild
- Azure Key Vault Contributor escalation 2024: Datadog found Azure Key Vault Contributor could add itself to access policies and read every secret, key and certificate in a vault.
Read and download The State of NHI & AI Agent Breach Report 2026, covering 150+ breaches impacting Non-Human Identities including AI Agents.
NHI Mgmt Group analysis
Visibility before governance is the new identity control sequence: Legacy IGA assumed the inventory was known before review began. That assumption no longer holds in SaaS-heavy and machine-heavy environments, where unknown applications and unowned access make certification look precise while remaining incomplete. Practitioners should treat discovery quality as the upstream control that determines whether governance is real or ceremonial.
Identity visibility is now inseparable from non-human identity governance: The article is right to connect IVIP to the NHI surge, because machine identities are where inventory gaps become privilege gaps fastest. Service accounts, pipelines, and other non-human credentials do not fit human-centric review models well, which is why lifecycle visibility has become the decisive first control. IAM teams should expect NHI governance to fail wherever ownership and entitlement discovery remain partial.
Continuous identity security is a programme design shift, not a product feature: ISPM only works when discovery, entitlement analysis, and policy enforcement operate in a continuous loop. Quarterly access reviews and annual certifications were built for slower change cycles than modern SaaS and cloud estates. The practical conclusion is that governance must move from episodic review to continuously updated control evidence.
Identity visibility debt: The article exposes a specific governance debt where organisations accumulate access they cannot explain, map, or certify. That debt grows whenever new applications, identities, or authorization patterns arrive faster than ownership and policy metadata can be normalised. The implication is that identity programmes now need a visibility baseline before they can credibly claim governance maturity.
Modern authorization now depends on governable context, not static roles alone: The article’s discussion of AuthZen, ABAC, ReBAC, and PBAC shows that authorisation is becoming more dynamic and more distributed. That does not reduce governance pressure, it raises it, because explainability must travel with each decision. Practitioners should read this as a signal that access control and auditability are converging.
From our research library:
- Nearly 60% of IT leaders cite restrictive cost and complexity as a weakness of legacy identity governance, according to the 2025 State of Identity Governance Report.
- Read next: IGA Buyer's Guide
What this signals
Identity visibility debt: IAM programmes now fail less from missing policy and more from missing truth. When applications, owners, and non-human identities are not consistently discoverable, certification and enforcement become downstream rituals rather than effective controls.
Visibility-first governance changes the operating model for both human and machine identities. Teams should expect discovery quality, ownership mapping, and entitlement normalisation to become core measures of IAM maturity, not implementation details.
For practitioners
- Build a visibility-first governance sequence Start with discovery coverage, ownership mapping, and application inventory quality before widening access reviews or certification cycles.
- Expand governance to machine identities Include service accounts, pipelines, and other non-human identities in entitlement review, ownership assignment, and offboarding workflows.
- Prioritise high-value applications first Use a minimum viable deployment approach for the applications with the highest access risk, highest change rate, or weakest ownership data.
- Align authorization data with governance evidence Map policy-driven and context-aware authorization decisions back to auditable entitlement data so reviewers can explain why access was allowed.
Key takeaways
- Legacy IGA loses effectiveness when the organisation cannot reliably see the applications, identities, and permissions it is trying to govern.
- Non-human identity sprawl turns visibility gaps into privilege gaps, especially where service accounts and pipelines outnumber human users.
- IAM teams should move discovery and ownership mapping ahead of certification and enforcement if they want governance decisions to reflect reality.
Key terms
- Identity Visibility and Intelligence Platform: An Identity Visibility and Intelligence Platform is a layer that correlates identity data across multiple tools into one risk picture. It does not replace existing controls. It makes them more useful by connecting events, relationships, configuration, and posture so teams can prioritise what matters.
- Identity Security Posture Management: Identity security posture management is the continuous assessment of identity configuration, privilege, and exposure across an environment. It focuses on drift, overprivilege, and control gaps so teams can see where IAM, PAM, and NHI governance are failing before those gaps become incidents.
- Non-Human Identity (NHI): A digital identity assigned to a non-human entity such as a software application, service account, API key, bot, machine, or AI agent that enables it to authenticate and interact with systems without direct human involvement. NHIs now outnumber human identities in most enterprises by 25 to 50 times.
- Visibility-First Governance: Visibility-first governance is the practice of discovering the full application estate before trying to automate cleanup or access review. It recognises that identity controls cannot manage what they cannot see, especially across federated, non-federated, and shadow applications.
Deepen your knowledge
NHI governance, agentic AI identity, and machine identity lifecycle are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are building or maturing an IAM programme, it is worth exploring.
Published by the NHIMG editorial team on June 11, 2026.
Updated on October 8, 2026.
NHI Mgmt Group, the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org