Identity observability is becoming the ROI test for IAM programmes

At a glance

What this is: This analysis argues that identity observability is becoming the practical test for whether IAM programmes can prove value, reduce sprawl, and surface hidden risk across agentic AI, NHI, and human identities.

Why it matters: IAM, IGA, PAM, and security teams need a single operational view because fragmented identity data hides unused access, over-provisioning, and blind spots that weaken governance across all identity types.

By the numbers:

• Only 5.7% of organisations have full visibility into their service accounts.
• 79% of organisations have experienced secrets leaks, with 77% of these incidents resulting in tangible damage.

👉 Read AuthMind's analysis of identity observability and IAM ROI

Context

Identity observability is the practice of correlating identity access, activity, and entitlement context across the estate so teams can see what identities actually do. In an IAM programme, that matters because fragmented systems hide the relationship between provisioned access and real usage, especially when agentic AI, NHI, and human identities all coexist in the same operational model.

The article’s core claim is that many identity teams cannot prove ROI because their data is scattered across SaaS platforms, cloud services, directories, and security tools. That disconnect is not just a reporting issue. It is a governance problem that prevents teams from showing where spend is wasted, where access is stale, and where identity risk is accumulating.

For practitioners, the practical shift is from administration-led IAM to evidence-led identity governance. The strongest programmes now use observed access and activity to rationalise licences, identify sprawl, reduce support noise, and expose hidden privilege patterns before they become incidents.

Key questions

Q: How should security teams use identity observability to reduce wasted SaaS spend?

A: Start by matching application access to actual identity activity, then compare that usage with assigned licences and entitlement tiers. The goal is to identify duplicate tools, underused features, and seats that were bought for assumptions rather than evidence. This approach makes SaaS rationalisation auditable and creates a clearer business case for consolidation.

Q: Why do fragmented identity systems make IAM ROI hard to prove?

A: Because value is spread across multiple control planes that do not naturally share context. If access data, usage data, and lifecycle data live in separate tools, teams cannot easily show whether a licence was used, whether access was excessive, or whether remediation reduced risk. That weakens both financial reporting and governance credibility.

Q: What breaks when identity sprawl is not continuously reconciled?

A: Dormant accounts, duplicate identities, orphaned service accounts, and unmanaged AI identities accumulate across the estate, driving cost and creating blind spots. The programme loses the ability to tell which identities are still legitimate and which are simply consuming budget or expanding attack surface. Over time, the gap becomes both financial waste and control failure.

Q: Who is accountable when autonomous or non-human identities accumulate hidden privilege?

A: Accountability sits with the teams that own lifecycle governance, access reviews, and entitlement reconciliation across the estate. If those controls do not include service accounts and AI-driven identities, hidden privilege can persist without a clear owner or review path. The practical answer is to assign explicit governance ownership before the drift becomes systemic.

Technical breakdown

Identity observability across fragmented IAM data

Identity observability means unifying access, activity, and entitlement signals across systems that normally do not agree with one another. Traditional IAM tools often know what was provisioned, but not what was actually used or how access evolved across SaaS, cloud, and directory boundaries. That leaves teams with spreadsheets, point reports, and inconsistent logs instead of an operational identity picture. Continuous observability closes that gap by correlating lifecycle state with actual behaviour, so the programme can distinguish active entitlement from dormant privilege and noise from material risk.

Practical implication: build a unified identity data layer before trying to optimise licences or recertify access.

SaaS rationalisation from observed identity usage

SaaS rationalisation becomes defensible when it is driven by observed usage rather than vendor reports or role assumptions. Identity teams can only identify redundant applications, overlapping tiers, and unused seats if they can see actual identity activity across the environment. The technical issue is correlation, not just collection: access logs, sign-in events, app telemetry, and entitlement records need to be matched to the same identity. Without that, organisations optimise based on perception, which usually preserves waste and hides shadow adoption.

Practical implication: base application consolidation on measured usage and entitlement overlap, not on owner estimates.

Identity sprawl, privilege drift, and autonomous accounts

Identity sprawl is the accumulation of dormant, duplicate, orphaned, or over-provisioned identities across humans, service accounts, and AI-driven identities. In practice, the same control failure appears in different forms: unused licences, forgotten automation identities, and privileges that outlive the need that created them. Identity observability matters because drift often happens across systems rather than inside one tool. When the identity estate is observable, teams can detect misaligned entitlements, self-provisioning behaviour, and service identities that no longer map to an accountable owner.

Practical implication: continuously reconcile identities across platforms so unused or misaligned access can be removed before it compounds.

NHI Mgmt Group analysis

The Great Identity Disconnect is a governance failure, not just a tooling problem. When identity data is scattered across IAM, SaaS, cloud, and security systems, teams lose the ability to connect access decisions to business value. That makes ROI reporting weak and remediation slow because the programme cannot explain what changed, why it changed, or whether it mattered. The implication is that identity programmes must be judged on their ability to produce a coherent control picture, not on how many tools they own.

Identity observability is becoming the control plane for proving IAM value. The article is right that visibility and intelligence are no longer optional reporting features. In a fragmented enterprise, observability is the layer that turns access events into decisions about licence waste, support load, and privilege risk. That aligns most closely with NIST Cybersecurity Framework thinking because identify, protect, detect, respond, and recover all depend on trustworthy identity evidence. Practitioners should treat observability as a prerequisite for measurable IAM outcomes.

Identity sprawl now spans human, non-human, and agentic identities, so lifecycle governance has to be cross-domain. Dormant users, unmanaged service accounts, and AI agents that self-provision all create cost and control leakage, but they do so through different operational mechanics. That means the same offboarding, recertification, and entitlement cleanup discipline must be applied across all three identity classes. The implication is that siloed lifecycle governance no longer matches the shape of the estate.

Identity observability exposes the point where operational efficiency and risk reduction converge. The article correctly frames fewer support tickets, less manual correlation, and reduced investigation time as business value, but those same improvements also shrink attacker dwell time and governance blind spots. This is where identity work becomes easier to justify to boards: the same telemetry that reduces operational friction also improves control assurance. Practitioners should connect efficiency metrics to security outcomes instead of treating them as separate programmes.

Privilege anomalies and entitlement drift are the named failure modes behind the ROI story. Those failures are what make IAM spend hard to defend and breaches harder to prevent. If an identity programme cannot surface over-provisioned automation accounts, cross-system drift, or stale access with enough context to act, it is not yet operating as an observability layer. The implication is that teams should measure the estate by what it reveals, not by how many checks it completes.

From our research:

• 80% of identity breaches involved compromised non-human identities such as service accounts and API keys, according to Ultimate Guide to NHIs.
• 71% of NHIs are not rotated within recommended time frames, increasing the risk of compromise over time, according to Ultimate Guide to NHIs.
• For a deeper governance lens, read Ultimate Guide to NHIs - Lifecycle Processes for Managing NHIs for provisioning, rotation, and offboarding detail.

What this signals

Identity observability will increasingly be judged by whether it can unify governance across humans, NHIs, and autonomous systems. The programme signal is simple: if you cannot correlate access and activity across those identity classes, you will struggle to prove either savings or risk reduction. With 80% of identity breaches involving compromised non-human identities, the operational gap is already a security gap.

Privilege drift will become the more useful metric than raw account counts. Account totals tell you little if the real issue is over-provisioned access that persists across cloud services, SaaS tools, and automation identities. Teams should prepare for more board-level questions about entitlement quality, offboarding completeness, and whether observability actually shortens the path from detection to cleanup.

Identity sprawl is now a lifecycle issue as much as a security issue. The most mature programmes will treat licence optimisation, offboarding, and access recertification as one workflow rather than separate tasks. That shift matters because the same hidden identities that create cost also create exposure, and the controls that surface one usually improve the other.

For practitioners

• Correlate access with actual activity Unify sign-in, entitlement, and application telemetry so each identity can be evaluated against what it actually uses, not what was assigned on paper.
• Rationalise SaaS from observed usage Use observed identity behaviour to identify duplicate applications, unused tiers, and low-value licences before renewal decisions are made.
• Reconcile sprawl across all identity types Continuously discover dormant users, orphaned service accounts, and self-provisioning AI identities so they can be removed or remediated in the same governance cycle.
• Tie support reduction to identity evidence Track lockouts, resets, and misconfiguration tickets alongside identity telemetry so operational efficiency gains can be shown alongside risk reduction.

Key takeaways

• Identity observability matters because fragmented identity data prevents teams from proving both ROI and control effectiveness.
• Observed usage is more defensible than vendor reports for licence rationalisation, sprawl cleanup, and operational reporting.
• The strongest programmes connect efficiency gains to governance outcomes across human, non-human, and autonomous identities.

Key terms

• Identity Observability: Identity observability is the ability to collect and correlate access, activity, entitlement, and lifecycle signals across identity systems. It gives security and IAM teams a continuous view of what identities can do, what they actually do, and where governance or privilege drift is building.
• Identity Sprawl: Identity sprawl is the uncontrolled growth of accounts, credentials, licences, or automation identities across systems and business units. It often produces dormant, duplicate, or orphaned identities that consume budget, complicate governance, and enlarge the attack surface if not continuously reconciled.
• Privilege Drift: Privilege drift is the gradual mismatch between an identity’s current business need and the access it still retains. It appears when roles, entitlements, or automation permissions are not cleaned up after changes in use, ownership, or operating context, leaving excess access in place.
• Service Account: A service account is a non-human identity used by applications, scripts, workloads, or automation to authenticate and access resources. It usually operates without interactive user behaviour, which means governance must focus on ownership, rotation, offboarding, and privilege scope rather than human login controls.

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 responsible for identity security strategy or NHI governance in your organisation, it is worth exploring.

This post draws on content published by AuthMind: identity observability as the ROI test for IAM programmes. Read the original.