TL;DR: Identity governance now has to be translated into the language of security, finance, compliance, and the business, because IT leaders are managing SaaS sprawl, access sprawl, AI adoption, and lifecycle gaps that each stakeholder sees differently, according to Zluri. The underlying issue is not technical complexity alone but organizational alignment across human, NHI, and AI-driven access patterns.
At a glance
What this is: This is a strategic leadership piece about getting identity governance funded by reframing the same problem for different stakeholders.
Why it matters: It matters because IAM, NHI, and lifecycle programmes often fail on prioritisation and funding before they fail technically, and leaders need a business case that maps to each audience.
👉 Read Zluri's analysis of how IT leaders win budget, buy-in, and influence
Context
Identity governance fails politically before it fails technically when security, finance, compliance, and business teams each see a different symptom of the same access problem. The article argues that IT leaders now have to convert identity and access issues into shared business outcomes, because the environment includes human accounts, service accounts, and AI agents that were not governed through one consistent operating model.
That shift matters for IAM programmes because access sprawl, SaaS sprawl, and unmanaged non-human identities are now budget, risk, and audit issues at the same time. For practitioners, the question is no longer whether controls exist in theory, but whether they can be explained in terms each stakeholder will act on.
Key questions
Q: How should security teams build a business case for identity governance?
A: Start with the stakeholder problem, not the platform. Security should show risk coverage gaps, finance should see measurable cost recovery, compliance should see continuous evidence, and business leaders should see faster access. The strongest business cases use one data set translated into four or five outcomes, so the programme looks like enterprise risk reduction rather than an IT request.
Q: Why do identity programmes get stuck even when the technical controls are sound?
A: They usually fail on organisational alignment. Technical controls can be solid, but if security, finance, compliance, and business leaders do not see their own problem being solved, the project is treated as a departmental initiative. Identity governance advances faster when the programme speaks each stakeholder’s language and proves value in their terms.
Q: What breaks when service accounts and SaaS access are not part of governance reviews?
A: The programme loses visibility into a large part of the real risk surface. Stale service accounts, hidden integrations, and orphaned subscriptions continue to consume budget and retain access after the business need has ended. That creates a control gap for security and a cost leak for finance, often at the same time.
Q: Who should own identity governance when access spans IT, finance, and the business?
A: Ownership should sit with the team that can coordinate policy, evidence, and lifecycle execution across functions, not with IT alone. Identity governance is now a cross-functional operating model, so the accountable owner needs authority to align security, finance, compliance, and business stakeholders around the same control outcomes.
Technical breakdown
Why identity sprawl becomes a governance problem, not just an access problem
Identity sprawl is what happens when the number of identities, entitlements, and connected tools grows faster than the governance model meant to track them. In this article, that includes human users, service accounts, OAuth tokens, SaaS apps, and AI agents, each with different ownership and review paths. The technical issue is not simply volume. It is that access decisions become distributed across procurement, IT, business units, and automation layers, which makes consistent certification and offboarding difficult. When the control plane is fragmented, the risk surface expands even if each individual system seems manageable.
Practical implication: map every identity class to an owner, review path, and offboarding trigger before asking Finance or the business to fund remediation.
Why lifecycle gaps create both security exposure and budget waste
Lifecycle governance covers joiner, mover, and leaver events across human and non-human identities. The article shows that the same missing process can create two different failures: dormant access that security cannot see and SaaS or AI spend that finance cannot justify. In practice, offboarding gaps leave accounts, tokens, and subscriptions active after the business need has ended. That turns governance into an evidence problem because the organisation cannot easily show what was removed, what remains, and who approved it. The result is accumulation of risk and cost in the same places.
Practical implication: tie lifecycle events to entitlement revocation, license recovery, and evidence capture so budget and control outcomes are visible together.
How stakeholder-specific evidence changes access governance decisions
The article’s core mechanism is not technology adoption, but evidence translation. Security wants exposure reduction, compliance wants auditability, finance wants measurable return, and business leaders want faster access. Those are different decision frameworks, so a single technical narrative rarely lands. Effective governance programmes therefore need the same underlying data reframed for each audience: coverage gaps for security, control evidence for compliance, waste reduction for finance, and provisioning speed for the business. This is what turns identity work from an IT request into an enterprise initiative.
Practical implication: build one data set and four stakeholder views, rather than four separate governance stories.
NHI Mgmt Group analysis
Identity governance now succeeds or fails as an alignment discipline, not a tooling discipline. The article is right that the technical problem is only half the story. Security, finance, compliance, and business leaders all evaluate identity risk through different metrics, so the same control can look like protection, overhead, or delay depending on the audience. Practitioners should treat budget approval as part of the governance model itself.
Identity sprawl has become a cross-domain control problem because human, NHI, and AI access are now interdependent. When service accounts, SaaS integrations, and AI agents sit beside human identities in the same operating environment, the old assumption that access can be governed in separate silos breaks down. The implication is that access governance can no longer be defended as an IAM-only concern when procurement, finance, and business operations all shape the real exposure.
Lifecycle gaps are the named failure mode hiding inside many identity budgets. Offboarding, review, and certification failures do not just create risk. They also trap cost in unused licences, stale entitlements, and unmanaged access paths that nobody owns cleanly. That is why the strongest identity business cases are built around lifecycle closure, not just policy enforcement.
Strategic diplomacy is the right concept for modern identity leadership. The article captures a real change in operating model: leaders now need to translate the same governance problem into five different business languages without changing the underlying facts. That makes identity leadership a coalition-building function, and practitioners who cannot do that will keep seeing good programmes delayed or defunded.
Control value must be proven in the language of the stakeholder who pays for it. Security needs remediation speed and coverage, compliance needs continuous evidence, finance needs measurable savings, and the business needs access velocity. A governance programme that cannot express its value in those terms will be treated as a technical improvement instead of an enterprise priority.
From our research:
- 91.6% of secrets remain valid five days after the targeted organisation is notified, showing a critical gap in remediation procedures, according to Ultimate Guide to NHIs.
- Only 20% have formal processes for offboarding and revoking API keys, and even fewer have procedures for rotating them.
- For lifecycle depth, see NHI Lifecycle Management Guide for provisioning, rotation, and offboarding practices that close the operational gap.
What this signals
Identity governance budgets are increasingly won or lost on the strength of the evidence story. Teams that can show access coverage, remediation speed, and lifecycle closure in the same dataset will have an easier time securing funding than teams that only present policy goals. The practical shift is toward stakeholder-specific dashboards that translate the same control into risk, cost, and productivity outcomes.
Lifecycle discipline is becoming the hidden determinant of both security and software spend. When joiner, mover, and leaver processes are incomplete, unused entitlements and unmanaged access persist long after the business case for them has disappeared. That makes lifecycle reporting a finance input as much as a security one.
The article also reinforces a broader governance pattern: as SaaS and AI adoption decentralise buying decisions, identity teams have to govern the environment they inherit, not the one they once controlled. That is why the strongest programmes now anchor their message in operational evidence rather than abstract maturity language.
For practitioners
- Define one governance problem, then translate it five ways Build a single identity governance narrative that can be re-expressed for security, finance, compliance, business leaders, and the executive team without changing the underlying evidence. Use the same operational data, but frame it as exposure, savings, auditability, speed, or strategic risk depending on the audience.
- Inventory the identities that sit outside human IAM Document service accounts, OAuth integrations, SaaS app accounts, and AI agent access alongside human users so the programme reflects the actual control surface. If those identities do not have owners, review cadences, and offboarding paths, they will keep reappearing as budget, audit, and security exceptions.
- Tie lifecycle events to financial and security outcomes Make joiner, mover, and leaver workflows produce both access changes and measurable business results, such as license recovery, entitlement removal, and evidence of closure. That gives Finance and Compliance a reason to support the same control that Security wants to fund.
- Lead every funding request with environment-specific proof Use discovery data, remediation counts, onboarding metrics, and control evidence from your own environment instead of generic claims or vendor case studies. Stakeholders are more likely to fund a programme when the numbers come from their own systems and show a direct link to their priorities.
Key takeaways
- Identity governance now depends as much on cross-functional persuasion as it does on technical enforcement.
- Human identities, service accounts, SaaS entitlements, and AI agent access all need to be treated as part of one operating surface.
- Programmes that tie lifecycle closure to evidence, savings, and faster access are more likely to get funded and sustained.
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 Zero Trust (SP 800-207) set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | GV.OV-01 | Identity programmes here are framed as enterprise oversight and decision-making problems. |
| NIST Zero Trust (SP 800-207) | PR.AC-1 | The article centres on access governance across human and non-human identities. |
| OWASP Non-Human Identity Top 10 | NHI-03 | Lifecycle and access sprawl are the core non-human identity risks discussed. |
Document and justify every access path across identities, then align reviews to actual business need.
Key terms
- Identity sprawl: The uncontrolled growth of identities, entitlements, and connected systems across an organisation. It matters because the governance model becomes harder to operate than the environment it is meant to control, especially when human users, service accounts, and AI agents all accumulate access differently.
- Lifecycle governance: The set of processes that manage identity from creation to removal, including joiner, mover, leaver, review, and offboarding steps. In modern environments it must cover humans and non-human identities together, because stale access and missed revocation create both risk and cost.
- Stakeholder alignment: The ability to frame the same control problem in terms that different decision-makers will recognise and act on. For identity programmes, it means translating access risk into security terms, budget waste into finance terms, auditability into compliance terms, and speed into business terms.
Deepen your knowledge
NHI governance, agentic AI identity, and machine identity security are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are responsible for identity security strategy or lifecycle governance, it is worth exploring.
This post draws on content published by Zluri: Career From IT Director to Strategic Diplomat, on getting budget, buy-in, and a seat at the table. Read the original.
Published by the NHIMG editorial team on 2026-06-23.
NHI Mgmt Group — the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org