TL;DR: Traditional software asset management struggles with SaaS discovery, usage control, renewal tracking, and offboarding, while SaaS management platforms are built for those workflows, according to Zluri. The governance shift is from license administration to continuous SaaS visibility, cost control, and access lifecycle management.
At a glance
What this is: This comparison of SAM and SaaS management platforms argues that legacy software asset management is mismatched to SaaS discovery, renewal, cost control, and offboarding.
Why it matters: It matters because SaaS governance now sits at the intersection of identity lifecycle, access review, and financial control, which changes how IAM and IGA teams should structure ownership and offboarding.
Context
SaaS governance is the discipline of knowing what applications exist, who uses them, what they cost, and when access should end. Legacy software asset management was built around packaged software licensing, not the continuous churn of SaaS subscriptions, delegated access, and shadow adoption.
That mismatch creates operational gaps that matter to identity and governance teams: discovery becomes incomplete, renewals slip, abandoned accounts persist, and offboarding loses control. In practice, the question is not whether software is licensed, but whether SaaS usage is continuously visible and lifecycle-managed.
Key questions
Q: How should teams govern SaaS subscriptions when legacy SAM is not enough?
A: Teams should treat SaaS governance as a live service-management problem, not a periodic asset-audit exercise. The operating model needs continuous discovery, named application ownership, renewal review, and offboarding that removes access as well as the subscription record. Without those controls, SaaS sprawl will outpace licence administration.
Q: Why does SaaS sprawl create security risk as well as cost pressure?
A: SaaS sprawl increases the number of accounts, roles, permissions, and integrations that must be governed. Each additional application adds another place where access review, approval, and offboarding can fail. The result is not just wasteful spend but a larger, harder-to-audit identity surface across business systems.
Q: What signals show that SaaS governance is not working?
A: Look for delayed offboarding, repeated manual exports, inconsistent access review responses, and inactive accounts that still carry paid licenses. Those signals indicate that entitlement ownership and usage data are not reconciled often enough to support reliable governance.
Q: Should organisations use SAM, SMP, or both for SaaS control?
A: Use both only if roles are clearly separated. SAM still has value for traditional software estates, but SaaS control needs a platform and workflow built around subscription visibility, usage analytics, and access lifecycle management. If one tool is expected to cover both worlds equally, SaaS controls will usually be under-governed.
Technical breakdown
Why legacy SAM breaks down for SaaS discovery
Software asset management is oriented around inventory, entitlements, and license compliance for software that is purchased and installed in relatively fixed ways. SaaS changes the control plane because applications appear through SSO, browser use, embedded integrations, expense data, mobile access, and direct sign-up outside formal procurement. That makes point-in-time inventory insufficient. Discovery has to aggregate multiple signals and reconcile them into an application record that stays current as employees, teams, and third parties adopt or abandon tools.
Practical implication: Treat SaaS discovery as an identity and usage correlation problem, not a conventional software inventory task.
How renewal and usage control change under SaaS
In SaaS, the risk is not only unused licences. It is also auto-renewals, overprovisioned plans, duplicated tools, and spending that persists long after usage drops. Traditional SAM can track purchases, but it does not naturally connect spend with live usage patterns, owner accountability, or renewal calendars across hundreds of subscriptions. A SaaS management platform makes those links explicit so governance teams can see which apps are still active, which are underused, and which contracts are about to renew without business need.
Practical implication: Use usage telemetry and renewal ownership together so contract decisions reflect real adoption, not procurement history.
Why offboarding is now a SaaS access lifecycle issue
Offboarding in SaaS is not just about removing a licence from a procurement record. It is about revoking application access, terminating dormant subscriptions, and ensuring that abandoned accounts do not remain active after an employee leaves or a team changes tools. That is an identity lifecycle problem as much as a cost problem. If offboarding is detached from application discovery, access can persist unnoticed even when the subscription is no longer actively used, which leaves both compliance exposure and unnecessary spend.
Practical implication: Tie SaaS offboarding to identity lifecycle controls so account removal and subscription termination happen as one governed process.
Threat narrative
Attacker objective: The practical objective is not always a classic intrusion but sustained access, unmanaged SaaS usage, and avoidable financial and compliance loss.
- Entry occurs through SaaS sprawl, where applications are adopted outside the central inventory and bypass traditional asset controls.
- Privilege escalation appears as overpermitted subscriptions, shared admin access, and stale accounts that retain access after the business no longer needs them.
- Impact follows through wasted spend, weak auditability, and lingering access paths that complicate compliance and increase exposure to misuse.
Breaches seen in the wild
- SalesBleed Salesforce Agentforce 2026: Three fixed Agentforce flaws let poisoned web leads make AI agents leak CRM data with zero clicks and send phishing under the agent's identity.
Read and download The State of NHI & AI Agent Breach Report 2026, covering 150+ breaches impacting Non-Human Identities including AI Agents.
NHI Mgmt Group analysis
Legacy SAM is structurally misaligned with SaaS governance: The control model was built for installed software, not continuously changing SaaS usage patterns, subscription states, and delegated access paths. That means inventory, usage, and lifecycle data live in different places unless the governance model is rebuilt around SaaS reality. Practitioners should treat this as a category mismatch, not a tooling preference.
SaaS governance is an identity lifecycle problem disguised as spend management: The article focuses on cost, but the underlying failure mode is access persistence across employee movement, app adoption, and offboarding. When subscription ownership and account ownership diverge, orphaned access and unnecessary renewals tend to travel together. The practitioner conclusion is that SaaS governance has to sit inside IAM and IGA, not beside them.
Continuous visibility is the defining control boundary for SaaS: A point-in-time license audit no longer establishes whether the environment is governed. SaaS estates change through browser access, integrations, and self-provisioning, so governance must account for live usage signals and app ownership at all times. The implication is that teams need a persistent control loop, not periodic clean-up.
Access lifecycle and financial lifecycle now converge in the same control plane: Renewal dates, app ownership, and deprovisioning are no longer separable administrative tasks. If the renewal process does not know whether access is still justified, and the offboarding process does not know whether a subscription is still active, control breaks at both ends. Teams should design SaaS governance as one workflow spanning entitlement, contract, and revocation.
Identity surface management is becoming the more accurate term for SaaS oversight: The article shows that the problem is not software assets in the abstract, but the whole surface of access, use, and exposure created by SaaS adoption. That surface includes employees, apps, renewals, and dormant accounts. Practitioners should use a broader operating model than SAM if they want governance that matches how SaaS actually behaves.
From our research library:
- The average enterprise SaaS platform connects to 42 or more third-party applications through OAuth tokens, API keys, webhooks and automation platforms.
What this signals
Identity surface management is becoming the right lens for SaaS oversight: The hard problem is no longer whether an application was purchased, but whether its access, ownership, renewal, and offboarding states are still aligned. That is a governance loop problem, not a licence-counting problem.
SaaS programmes that rely on periodic inventory clean-up will keep missing abandoned accounts and auto-renewals because the environment changes faster than the review cycle. Teams need control points that move with application adoption, not after it.
IAM and IGA basics matter here because SaaS governance collapses when identity ownership, entitlement review, and lifecycle offboarding are treated as separate disciplines.
For practitioners
- Build continuous SaaS discovery Correlate SSO, expense, directory, direct integration, and browser-based signals so application discovery reflects actual usage rather than procurement records.
- Assign accountable app owners Require a named business owner for each SaaS application so renewals, access decisions, and offboarding actions have an explicit decision-maker.
- Align renewal review with usage data Review subscription tiers, duplicate apps, and dormant licences before auto-renewal so the contract decision reflects current adoption.
- Tie offboarding to access revocation Remove user access and terminate abandoned subscriptions in the same workflow so leavers do not retain active SaaS accounts after departure.
- Separate SaaS governance from legacy SAM Use SAM for packaged software inventory and SaaS management for subscription, usage, and lifecycle controls so each control model handles the environment it was designed for.
Key takeaways
- Legacy SAM does not cover the full SaaS control problem because discovery, renewals, and offboarding now happen continuously across many access paths.
- The governance risk is as much identity-related as financial, since abandoned accounts and unmanaged subscriptions often travel together.
- Teams that want stronger SaaS control need continuous discovery, accountable ownership, and lifecycle-linked offboarding rather than periodic licence audits.
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 CSA Cloud Controls Matrix, NIST CSF 2.0 and CIS Controls v8 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| CSA Cloud Controls Matrix | IAM — Identity and Access Management | The article centres on SaaS access governance and subscription control in cloud services. |
| Recommendation — Apply IAM governance to SaaS subscriptions, access ownership, and offboarding workflows. | ||
| NIST CSF 2.0 | PR.AA-05 — Access Permissions, Entitlements and Authorizations | SaaS ownership, entitlements, and access revocation are the core control concerns here. |
| Recommendation — Review SaaS entitlements continuously and revoke access when business need ends. | ||
| CIS Controls v8 | CIS-5 — Account Management | Account lifecycle and offboarding failures are a recurring SaaS governance risk in the article. |
| Recommendation — Manage SaaS accounts through accountable lifecycle controls and timely deprovisioning. | ||
| OWASP Non-Human Identity Top 10 | NHI-01 — Improper Offboarding | The article repeatedly points to abandoned SaaS access after users leave or stop using apps. |
| Recommendation — Track SaaS offboarding as an identity lifecycle event and revoke access before accounts linger. | ||
Key terms
- SaaS Management Platform: A SaaS management platform is a visibility and optimisation layer for cloud software use. It helps teams discover applications, track utilisation, and understand spend patterns, but it does not by itself enforce access policy, revoke permissions, or manage identity lifecycle state.
- Software Asset Management: Software asset management is the process of tracking, optimising, and governing software usage, licences, and contracts across an organisation. In modern SaaS environments, it increasingly depends on identity data because software value and software risk are both defined by who or what can use the application.
- SaaS offboarding: The process of removing a departing user from software access while also closing the related account, subscription, and data-handling obligations. In mature programmes, it includes license recovery, file transfer, inbox ownership changes, and evidence that the app lifecycle has ended cleanly.
- Application Discovery: Application discovery is the process of identifying which software and services are actually in use, including unsanctioned or shadow applications. In lifecycle governance, it helps teams align access decisions with the real application estate instead of relying only on a static catalogue.
Deepen your knowledge
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Published by the NHIMG editorial team on June 11, 2026.
Updated on October 8, 2026.
NHI Mgmt Group, the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org