How do security teams decide which identity fixes to fund first?

Why This Matters for Security Teams

Identity funding decisions are rarely limited by technical merit alone. Security teams have to choose between exposed service accounts, stale API keys, weak OAuth grants, privileged SaaS roles, and other access paths that can all become breach routes. The practical issue is that a backlog item is not the same thing as a risk-reduction opportunity. A fix that removes high-value lateral movement may deserve priority over a larger cleanup that only improves hygiene.

The NIST Cybersecurity Framework 2.0 is useful here because it frames risk treatment in terms of outcomes rather than task volume, and NHIMG research shows why that matters: in the Ultimate Guide to NHIs, 79% of organisations reported secrets leaks and 77% of those incidents caused tangible damage. That is a funding signal, not just a security statistic.

Teams often get this wrong by ranking fixes by visibility, ease, or the complaints of the loudest system owner. In practice, many security teams encounter identity risk only after a compromised credential has already been used to reach sensitive systems, rather than through intentional prioritisation of the most dangerous access paths.

How It Works in Practice

The most defensible approach is to score each identity issue by expected loss reduction per dollar spent. That means estimating three things: how much exposure the fix removes, how sensitive the reachable systems are, and how likely abuse is if the issue remains open. For example, rotating a widely used token with access to production data is usually worth more than cleaning up a low-value dormant account with no meaningful reach.

Good teams translate that idea into an operational queue. They group findings by identity type, then map each item to business impact and exploitation likelihood. NIST CSF 2.0 helps structure the analysis across govern, identify, protect, detect, respond, and recover. For NHI-heavy environments, NHIMG’s Top 10 NHI Issues is a practical lens for spotting the most common high-risk patterns such as excessive privilege, poor rotation, and weak visibility.

• Prioritise identity paths that connect to crown-jewel systems, not just the largest count of findings.
• Weight exposed secrets, long-lived tokens, and over-privileged service accounts more heavily than low-impact misconfigurations.
• Include exploitability signals such as internet exposure, third-party access, and lack of monitoring.
• Convert engineering effort into risk reduction so finance can compare one remediation against another on the same basis.

This works best when teams have reliable inventory and dependency data. These controls tend to break down in sprawling SaaS and third-party integrations because ownership is unclear and the reachable blast radius is hard to measure.

Common Variations and Edge Cases

Tighter funding discipline often increases measurement overhead, requiring organisations to balance speed against confidence in the ranking model. That tradeoff is real, especially when identity tooling data is incomplete or when different teams use different ticketing and asset systems.

There is no universal standard for ranking identity work yet, so current guidance suggests using a consistent rubric rather than a perfect one. Some organisations add compliance weighting for regulated environments, while others boost priority for any issue affecting externally exposed OAuth apps or production automation. If the question is whether to fund one IAM project, one NHI cleanup, or one SaaS access review, the right answer is usually the item that removes the most dangerous access path per unit of effort.

NHIMG’s State of Non-Human Identity Security is a strong reminder that visibility gaps are themselves prioritisation inputs: 85% of organisations lack full visibility into third-party vendors connected via OAuth apps. That kind of blind spot can move a remediation to the front of the queue even if the technical fix is straightforward. In identity programs with weak asset ownership or incomplete telemetry, funding decisions should favour the risks that are both reachable and hard to detect.

Related resources from NHI Mgmt Group

• How do security teams decide whether to use validation or retrieval controls first?
• How should security teams implement Triple-A identity access management standards?
• How should security teams use CSPM to reduce cloud identity risk?
• What do security teams get wrong about review scores in identity tooling?