IT asset management software shows why identity data needs one source

At a glance

What this is: This is a roundup of IT asset management platforms, with Zluri arguing that inventory visibility, lifecycle tracking, and audit readiness are now tightly linked to identity governance.

Why it matters: It matters to IAM teams because asset management data increasingly feeds access governance across NHI, autonomous, and human programmes, especially where orphaned access and shadow systems sit outside normal review cycles.

👉 Read Zluri's top 20 IT asset management software guide for 2026

Context

IT asset management is no longer just about tracking laptops, servers, and software licences. In practice, it has become a visibility layer for identity control because every unmanaged asset can hide an unmanaged identity, from service accounts to dormant app access and shadow AI.

The governance gap is simple: organisations can centralise asset data without centralising the access relationships attached to those assets. That leaves inventory accuracy, access reviews, and lifecycle control pointing at different records, which weakens both audit readiness and operational response.

Key questions

Q: How should security teams use IT asset data in identity governance?

A: Security teams should treat IT asset data as a source of context, not as proof of control. The useful step is to combine asset ownership, lifecycle state, and entitlement data so access reviews can focus on high-risk systems, orphaned assets, and identities that still have standing privilege after a change in ownership or use.

Q: Why do IT asset management tools still leave access risk behind?

A: They leave risk behind when they track objects but not permissions. A complete inventory can still miss service accounts, tokens, and delegated app access that remain active after the asset changes, which means the register looks healthy while the effective control surface is still stale.

Q: What breaks when asset retirement is not tied to identity offboarding?

A: The break is persistence. Retired assets can leave behind live credentials, orphaned integrations, and unreviewed app permissions that continue to function outside business need. That creates audit exposure and gives attackers or internal users a path through forgotten access.

Q: How should teams handle shadow AI inside IT asset inventories?

A: Teams should record shadow AI the same way they record any other business system, then attach the identities, approvals, and data flows that make it operational. If those access relationships are missing, the organisation knows the app exists but not whether it is authorised or reviewable.

Technical breakdown

Asset inventory as an identity control surface

IT asset management platforms build a central inventory of hardware, software, cloud resources, and connected applications. That inventory becomes useful for identity governance only when it also records who or what can act on each asset, because access drift usually appears first as a mismatch between ownership, usage, and entitlement. Without that linkage, asset records describe objects, not control boundaries. In modern environments, the control problem is not knowing that an asset exists, but knowing which identities still have standing access to it.

Practical implication: connect asset records to identity and entitlement data before using them for access governance.

Lifecycle tracking and audit preparation for non-human identities

The article repeatedly points to lifecycle tracking from procurement to disposal, which mirrors the lifecycle problem in NHI governance. Service accounts, API keys, tokens, and certificates often outlive the assets or workflows that created them. When ITAM data and identity data stay separate, offboarding and recertification miss stale machine access. The technical issue is not only discovery, but persistence: identities remain valid long after the underlying asset, vendor, or use case has changed.

Practical implication: align asset retirement processes with NHI offboarding and secret revocation.

Shadow AI and unmanaged access in asset platforms

Zluri's article includes shadow AI apps and identity visibility in the same control plane as IT assets, which reflects how modern asset management is absorbing access risk. The architecture matters because AI apps, SaaS tools, and workflow systems often create their own non-human identities and delegated permissions. If those identities are not mapped back to the asset inventory, teams cannot tell whether a tool is merely installed or actively authorised. That is where audit findings and hidden exposure begin.

Practical implication: inventory AI-connected apps together with their service identities and approval boundaries.

Breaches seen in the wild

• Cisco DevHub NHI breach — IntelBroker exploited exposed Cisco credentials, API tokens and keys in DevHub.
• Salt Typhoon US telecoms breach — Salt Typhoon APT used stolen credentials and Cisco CVE to breach US telecoms.

Read our 52 NHI Breaches Analysis report for a comprehensive view of breaches impacting Non-Human Identities including AI Agents.

NHI Mgmt Group analysis

IT asset management has become an identity governance problem disguised as inventory management. Once an organisation uses ITAM as its primary system of record, the real question is no longer what it owns, but who or what can still operate those assets. That is especially true when service accounts, tokens, and delegated app access are attached to assets that outlive their owners. Practitioners should treat asset data as an input to governance, not as a substitute for it.

Identity visibility breaks down when asset lifecycle and credential lifecycle are not synchronized. The article's lifecycle language matters because procurement, assignment, maintenance, and disposal are also moments when machine access should change. If the asset is retired but its non-human identity remains active, the organisation has created governance debt that audits will eventually expose. The practical conclusion is that every asset retirement workflow should trigger identity review.

Shadow AI is an inventory issue only until it becomes an access issue. Once AI apps are managed alongside hardware and software, their delegated identities, API permissions, and approval paths must be governed with the same rigor as traditional applications. This is where inventory visibility becomes a control boundary for agentic and NHI access. Practitioners should not ask whether the app is listed, but whether the identities behind it are authorised and reviewable.

Asset visibility without entitlement visibility creates false confidence. A complete asset register can still leave orphaned access, over-privileged accounts, and dormant integrations untouched because the register describes assets, not effective permissions. That gap is where audit preparation and real control diverge. Practitioners should validate access lineage for every high-value asset rather than rely on inventory completeness alone.

From our research:

• 1 in 4 organisations are already investing in dedicated NHI security capabilities, with an additional 60% planning to do so within the next twelve months, according to The State of Non-Human Identity Security.
• A separate finding shows that 85% of organisations lack full visibility into third-party vendors connected via OAuth apps, which is why inventory completeness is not the same as access visibility.
• For the operational playbook behind that gap, see NHI Lifecycle Management Guide and OWASP Non-Human Identity Top 10.

What this signals

Identity inventory is becoming the front line of governance. As organisations fold cloud apps, devices, software, and AI into one asset view, the next failure mode is not missing inventory but missing authority. The practical shift is toward linking discovery to lifecycle events so access can be recertified and revoked when assets change hands or disappear.

Access lineage is the new audit question. If a platform can show that an asset exists but cannot show which identities are still entitled to use it, the organisation has only partial control. Teams should expect more scrutiny of orphaned access, delegated permissions, and shadow AI approvals as inventory tools become part of the governance evidence chain.

The category is moving toward controls that join asset discovery with identity lifecycle management, especially where service accounts and app-to-app access create hidden persistence. That aligns directly with the control logic in the NIST Cybersecurity Framework 2.0, where identification, protection, and continuous monitoring must work together rather than operate as separate admin functions.

For practitioners

• Link ITAM records to identity entitlements Join asset inventory, ownership, and access data so security teams can see which human and non-human identities are attached to each asset before reviews begin.
• Tie asset retirement to NHI offboarding Make disposal, reassignment, and contract termination trigger revocation of related service accounts, API keys, tokens, and certificates.
• Map shadow AI to approval boundaries Record every AI-connected app together with its delegated permissions, approvers, and business owner so unmanaged access cannot hide inside the asset catalogue.
• Use inventory data to target access reviews Prioritise recertification for assets with external exposure, high privilege, or unclear ownership, then close the loop on stale entitlements before audit season.

Key takeaways

• IT asset management is increasingly a governance layer, not just a discovery layer.
• Inventory completeness does not equal access control completeness when service identities and shadow apps remain active.
• The practical fix is to connect asset lifecycle events to identity reviews, entitlement checks, and offboarding workflows.

Key terms

• Asset inventory: A complete record of hardware, software, cloud resources, and connected services in an environment. In identity governance, the value is not the list itself but the ability to attach ownership, lifecycle state, and access relationships to each item so control decisions are evidence-based.
• Entitlement data: Information showing which identities can access which systems, applications, or assets. For governance work, entitlement data is the bridge between inventory and enforcement because it reveals whether an asset is merely present or actively reachable by human and non-human actors.
• Shadow AI: AI applications or agent-like services that are present in the environment without formal discovery, approval, or oversight. The governance risk is not only unknown software, but unknown delegated access, data flow, and identity usage attached to that software.
• Lifecycle offboarding: The controlled removal of access, credentials, and ownership when an asset, account, or service is no longer needed. In NHI governance, offboarding must include tokens, keys, certificates, and app integrations because those identities often outlive the system or business process that created them.

Deepen your knowledge

IT asset visibility, lifecycle control, and identity governance are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If your programme is already using asset data to inform access decisions, this course helps formalise that governance model.

This post draws on content published by Zluri: IT Teams Top 20 IT Asset Management Software - 2026. Read the original.