By NHI Mgmt Group Editorial TeamBased on Zluri: “Discover the Reports in Zluri’s SaaS Management Platform” (June 26, 2025)

TL;DR: Automated reporting can surface app usage, spend, ownership, and security signals across 22 report views to support IT, finance, procurement, and compliance decisions, according to Zluri. The deeper takeaway is that reporting only helps when it is tied to lifecycle governance, not just inventory visibility.


At a glance

What this is: This is a vendor article about SaaS reporting in a SaaS management platform, centred on 22 report views that combine inventory, spend, usage and security signals for governance work.

Why it matters: For IAM, IGA and NHI teams, the issue is not reporting volume but whether those views are wired into ownership, lifecycle and access decisions that change risk.

By the numbers:

  • Zluri says its SaaS reporting provides 22 reports across organizational data, workable insights, spend report and usage report.
  • Zluri says the Workable Insights category includes 15 reports that give IT admins granular data for SaaS management.

Context

SaaS reporting is a governance mechanism, not just a dashboard feature. In this article, Zluri frames reporting as a way to centralise app, user, spend and risk signals so teams can manage a growing SaaS stack with less manual effort.

That matters because SaaS sprawl creates identity and governance blind spots at the same time. When ownership changes, users go inactive, licences remain assigned and risky apps stay in circulation, reporting becomes the control surface that connects inventory to action.

The primary question for identity programmes is whether reporting is feeding lifecycle decisions or merely describing the estate. In practice, the value comes from tying reports to ownership review, access cleanup, budget control and security escalation.


Key questions

Q: How should teams use SaaS reports for identity governance?

A: Teams should use SaaS reports to trigger governance decisions, not just to observe activity. The most valuable reports are the ones that feed access reviews, application ownership checks, renewal approvals, and offboarding workflows. If a report does not lead to a decision, it becomes documentation rather than control.

Q: What breaks when SaaS reporting is only used for inventory visibility?

A: When reporting stops at inventory, organisations can see applications but still miss stale ownership, inactive users and redundant licences. That creates a false sense of control because the estate looks known while accountability remains unclear. In practice, the governance failure is not discovery. It is the absence of follow-through into lifecycle decisions.

Q: When should organisations prioritise SaaS cleanup over more reporting?

A: Organisations should prioritise cleanup when reports repeatedly surface inactive owners, redundant applications or unused licences. At that point, the problem is not lack of data but lack of remediation. Additional reporting adds little if the team already knows where the drift is and has not removed the underlying access or spend exposure.

Q: What is the difference between reporting and governance in SaaS management?

A: Reporting tells you what exists, while governance determines what should happen next. A report can show shadow accounts or unused licences, but governance assigns ownership, applies policy, and drives remediation. Without that second layer, visibility increases while risk remains unchanged.


Technical breakdown

Why SaaS reports matter for identity governance

SaaS reporting turns scattered operational data into a governable view of the application estate. The reports Zluri describes combine app inventory, user activity, ownership, spend and compliance signals so teams can see where access, cost and accountability diverge. That is useful because SaaS environments fail at the seams between procurement, IT and security, where no single team owns the full lifecycle. The technical point is not simply aggregation. It is correlation across identity-linked data so teams can identify inactive users, abandoned applications, misaligned ownership and app-level risk in one review cycle.

Practical implication: connect SaaS reports to ownership and lifecycle workflows, or the data will remain descriptive rather than governable.

How usage, ownership and spend reports support control decisions

The operational value of these reports comes from decision support, not analytics for its own sake. Usage reports surface inactive users, redundant apps and low-utilisation licences. Ownership reports expose inactive owners and apps that may no longer have clear accountability. Spend reports show departmental and application-level cost patterns, which is useful when governance includes budget discipline as well as access control. In identity terms, these reports help answer whether a person, app or department still has a justified relationship to the SaaS resource. That is the basis for recertification, offboarding and licence recovery.

Practical implication: use report outputs as triggers for recertification, offboarding and licence reclamation instead of waiting for annual reviews.

Security and compliance reporting still depends on lifecycle context

Security and compliance views only become meaningful when they are tied to the lifecycle of the application and its owners. Zluri includes risk scores, threat scores, security probe scores and compliance details, but those indicators matter most when an inactive owner, restricted app or unreviewed application is also visible. A security score without governance context can tell you that an app is risky, but not who is responsible for changing that risk. The control problem is ownership drift, not just visibility. That is why reporting must connect discovery, accountability and follow-up.

Practical implication: pair security scores with ownership and review processes so risk findings produce an accountable response.


Threat narrative

Attacker objective: The underlying objective is not a single exploit but continued operating risk through unmanaged SaaS access, ownership and control drift.

  1. Entry occurs through SaaS sprawl, where apps, users and transactions accumulate faster than governance can track them.
  2. Credential or access issues emerge when inactive users, inactive owners or unreviewed applications remain present in the estate.
  3. Escalation happens through stale ownership, redundant licensing and risky apps that continue operating without timely review.
  4. Impact is inefficient spend, weaker accountability and avoidable security exposure across the SaaS environment.

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NHI Mgmt Group analysis

Reporting becomes an identity control only when it closes the loop to lifecycle action. A SaaS inventory view is useful, but by itself it is only a record of what exists. The governance value appears when reports identify inactive users, inactive owners and redundant applications that can be acted on through review, offboarding or licence reclamation. Practitioners should treat reporting as the front end of lifecycle governance, not the end state.

Ownership drift is the central governance failure this reporting pattern is trying to expose. In SaaS estates, the app is often known but the accountable owner is stale, missing or no longer attached to the organisation. That breaks the basic assumption that every application has a current human or team responsible for risk decisions. The implication is that identity governance must track responsibility as actively as it tracks access.

Cost reporting and access governance are converging in SaaS operations. The same report set that helps finance reduce waste also helps security and IGA teams identify abandoned access and unnecessary application exposure. That convergence matters because SaaS control failures rarely stay in one domain. Teams that do not connect spend, usage and ownership will miss the governance pattern that sits underneath all three.

Lifecycle visibility is now a prerequisite for credible SaaS governance. Reports on inactive users, archived users, upcoming renewals and application risk show that modern SaaS management is really a lifecycle problem with financial and security consequences. A programme that cannot connect inventory to ownership and renewal to review is managing a list, not governing a platform. Practitioners should build controls around that full lifecycle.

Redundant app detection is a named control gap, not just a cost-saving feature. When redundant applications remain in use, the estate carries unnecessary access paths, duplicated data exposure and avoidable administrative overhead. That is a governance problem as much as an optimisation problem. The right response is to treat app rationalisation as part of identity and access control, not as a separate procurement clean-up exercise.

From our research library:

What this signals

Report density is not the same as governance maturity: a large report set can still leave teams with weak ownership hygiene if the outputs never reach recertification, offboarding or renewal decisions. The practical test is whether inactive owners and redundant apps move into a queue that someone is accountable for clearing.

SaaS reporting now sits at the intersection of identity, spend and compliance, which means programme owners need to stop treating it as a back-office analytics feature. The strongest programmes use it to surface stale access, justify licence recovery and support application retirement decisions.


For practitioners

  • Tie reports to lifecycle workflows Map inactive users, inactive owners and archived applications to offboarding, recertification and application retirement workflows so findings trigger action rather than discussion.
  • Use ownership drift as a review trigger Create an exception path for applications whose owner is inactive or missing, and force reassignment before renewal or access recertification proceeds.
  • Promote redundant app findings into access clean-up Treat redundant applications as both a spend issue and an access issue, then remove unused licences and validate whether any linked identities still require the app.
  • Make security scores part of governance queues Route risk score, threat score and compliance findings into the same review queue used for app ownership and access certification so security signals are not isolated.

Key takeaways

  • SaaS reporting only changes governance when the outputs drive lifecycle action, not when they merely describe app sprawl.
  • Inactive users, inactive owners and redundant applications are the operational signals that matter most in this article.
  • The control lesson is to connect reporting to recertification, offboarding and retirement workflows so findings produce accountable change.

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 addresses the attack and risk surface, while NIST CSF 2.0 and CIS Controls v8 set the governance and control requirements practitioners need to meet.

FrameworkControl / ReferenceRelevance
OWASP Non-Human Identity Top 10NHI-01 — Improper OffboardingInactive users and archived users show offboarding gaps in SaaS estates.
NHI-05 — Overprivileged NHISaaS reports expose unused licences and excessive app access that widen blast radius.
Recommendation — Use NHI-01 to link inactive-user reports to offboarding and account removal workflows. Apply NHI-05 to identify and remove SaaS access that is no longer justified.
NIST CSF 2.0PR.AA-05 — Access Permissions, Entitlements and AuthorizationsThe article focuses on entitlement review, owner accountability and access cleanup.
Recommendation — Use PR.AA-05 to recertify SaaS entitlements and retire stale access paths.
CIS Controls v8CIS-5 — Account ManagementAccount and owner lists are central to the reporting model described here.
Recommendation — Apply CIS-5 to inventory, review and remove stale SaaS accounts and ownership.

Key terms

  • SaaS Lifecycle Governance: SaaS lifecycle governance is the set of controls that manage applications from onboarding through access assignment, renewal, and decommissioning. It matters because the security value of SaaS management depends on whether the organisation can prove ownership, revoke access, and retire unused tools on demand.
  • Ownership Drift: Ownership drift occurs when the person or team recorded as responsible for an NHI no longer matches operational reality. It often appears after reorganisations, platform migrations, or inherited service accounts. Drift weakens response, rotation, and certification because the governance record no longer points to the right decision-maker.
  • Redundant Apps: Redundant apps are two distinct applications that substantially overlap in purpose and capability, so an organization is paying for and supporting more tools than it needs. In practice, the issue is not just excess software. It is duplicate workflows, scattered adoption, and a consolidation decision that should be based on usage evidence, not guesswork.
  • Lifecycle Governance: Lifecycle governance is the set of controls that cover creation, assignment, review, rotation, and retirement of identities and credentials. For NHIs, it is the difference between a temporary automation asset and a persistent access risk. Strong lifecycle governance keeps ownership and expiry tied to actual business use.

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NHIMG Editorial Note
Published by the NHIMG editorial team on June 12, 2026.
Updated on October 8, 2026.
NHI Mgmt Group, the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org