TL;DR: IT asset management software is increasingly being used as a single source of truth for asset inventory, lifecycle tracking, audit preparation, and visibility across hardware, software, cloud, and even AI apps, according to Zluri. The deeper issue is that asset visibility without identity governance still leaves orphaned access, privilege creep, and shadow systems outside control.
Editorial analysis by NHI Mgmt Group, based on content published by Zluri: “Top 20 IT Asset Management Software - 2026”.
Key questions
Q: How should teams connect IT asset management with identity governance?
A: Teams should connect asset records to ownership, entitlement, and approval data so they can see who can actually act through each asset.
Q: Why does a single source of truth for assets still leave access risk?
A: A single source of truth for assets reduces inventory ambiguity, but it does not decide whether access is still appropriate.
Q: What are the signs that IT asset management is not reducing identity risk?
A: Warning signs include clean asset inventory reports alongside unresolved orphaned accounts, stale software access after renewals, and no linkage between asset retirement and deprovisioning.
Practitioner guidance
- Link asset records to identity records Map each hardware, software, cloud, and AI asset to an accountable owner, an access model, and the identity objects that can touch it.
- Trigger access review on lifecycle events Make procurement, reassignment, renewal, retirement, and disposal events create recertification tasks for user, service, and vendor access.
- Join inventory exports with entitlement data Require every audit pack to pair asset lists with approval evidence, access history, and deprovisioning records so reviewers can validate control operation.
Bottom line: IT asset management improves visibility, but the governance problem remains if identity and entitlement data are not joined to the same record.
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Identity data becomes the governing layer once asset inventories scale: A mature ITAM programme reduces blind spots, but the next control problem is identity context, not more asset rows. Hardware, software, cloud, and AI apps all become risk surfaces only when their ownership, access, and lifecycle state are joined to identity records. The practitioner conclusion is simple: asset visibility without identity governance remains incomplete governance.
A few things that frame the scale:
- 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.
A question worth separating out:
Q: When should organisations treat asset discovery as an identity control problem?
A: Organisations should treat asset discovery as an identity control problem whenever discovery reveals software, cloud resources, or AI apps that people or services can use. At that point, the real question is not only what the asset is, but who approved it, who can access it, and how that access is removed.
👉 Read our full editorial: IT asset management software shows why identity data needs one source