How do teams know whether SAM is actually reducing risk?

Why This Matters for Security Teams

Software asset management only reduces risk when it closes the identity and access paths tied to retired, duplicate, or unused applications. A clean licence count is not the same as a smaller attack surface. Teams often discover that an application is “gone” from the CMDB but still has active service credentials, API keys, SSO trust, or CI/CD connectors that can be abused later. That gap is especially visible in environments where non-human identities outnumber human identities by 25x to 50x, as described in the Ultimate Guide to NHIs — Why NHI Security Matters Now. The security question is not whether SAM trimmed spend, but whether it removed standing access and reduced the blast radius of dormant assets. NIST’s NIST Cybersecurity Framework 2.0 reinforces that governance must connect inventory, access management, and ongoing monitoring, not treat them as separate programmes. In practice, many security teams encounter residual access only after a retired system is reused, reconnected, or compromised.

How It Works in Practice

To judge whether SAM is reducing risk, teams need evidence across inventory, entitlement, and credential hygiene. Start with a complete software and application inventory, then map each application to its human and non-human access paths. That means identifying service accounts, workload tokens, API keys, certificates, SSO trust relationships, and automation hooks that remain active after decommissioning. The Top 10 NHI Issues and the Ultimate Guide to NHIs — Key Challenges and Risks both stress that identity exposure persists long after software spend has been reduced if offboarding is incomplete. A practical review cycle usually includes:

• Inventory reconciliation between SAM, IAM, CMDB, and cloud platforms.
• Unused entitlement analysis at renewal, especially for privileged or integration accounts.
• Validation that retired apps no longer have active secrets, connectors, or trust chains.
• Evidence of revocation, rotation, or expiration for all credentials linked to the app.

This is where NHI governance becomes measurable: if the app disappears from procurement reports but its service account still authenticates, the risk remains. Current guidance suggests treating “decommissioned” as a security state, not just a finance state, because identity dependencies often outlive the application owner’s records. These controls tend to break down when application ownership is fragmented across SaaS, cloud, and CI/CD tooling because no single team has authoritative visibility into every credential path.

Common Variations and Edge Cases

Tighter SAM controls often increase operational overhead, requiring organisations to balance deeper verification against faster renewal cycles and business continuity. That tradeoff matters most for shared platforms, embedded software, and shadow IT, where a single “application” may support multiple teams or machine-to-machine workflows. There is no universal standard for proving risk reduction yet, but current guidance suggests using leading indicators rather than spend alone. For example, a SAM programme may look efficient while still leaving dormant service credentials behind, especially if application retirement is not paired with identity cleanup. The 2024 ESG Report: Managing Non-Human Identities found that 72% of organisations have experienced or suspect they have experienced a breach of non-human identities, which is a useful reminder that unresolved identity sprawl is a material risk signal, not a theoretical one. Best practice is evolving toward cross-functional deprovisioning controls, where SAM, IAM, and platform owners jointly confirm that the last secret, token, or connector is gone. Teams should also watch for exceptions in regulated or always-on systems where full shutdown is not possible. In those cases, risk reduction comes from narrowing privilege, shortening credential lifetime, and proving continuous monitoring, not from assuming the asset has been fully removed.

Related resources from NHI Mgmt Group

• How do teams know whether risk-based verification is actually working?
• How can teams tell whether cloud data security controls are actually reducing risk?
• How should security teams measure whether authorization is actually reducing risk?
• How do teams know whether ephemeral credentials are actually reducing risk?