How do organisations decide which baseline security measures to prioritise first?

Why This Matters for Security Teams

Baseline security prioritisation is less about perfect coverage and more about reducing the blast radius of the most common failures first. For most organisations, that means choosing controls that are hard to bypass, easy to measure, and broad enough to protect users, endpoints, identities, and data at once. NIST’s Cybersecurity Framework 2.0 is useful here because it forces teams to map controls to real outcomes rather than to abstract tool categories.

The trap is assuming every control has equal value at the start. It does not. A weak baseline often leaves obvious paths open, such as compromised credentials, unpatched systems, and unattended secrets in code or CI/CD. NHIMG research shows why this matters: in the Ultimate Guide to Non-Human Identities, 79% of organisations report secrets leaks and 77% of those incidents caused tangible damage. In practice, many security teams discover their baseline gaps only after the first breach, rather than through intentional hardening.

How It Works in Practice

Effective prioritisation starts with a simple question: which control removes the most likely attack path across the most assets? That usually puts identity, patching, endpoint protection, and logging ahead of lower-frequency or highly specialised measures. Teams should rank candidate controls by frequency of exposure, ease of operational rollout, dependency on other controls, and how quickly the control reduces real risk. A baseline that cannot be deployed consistently is not a baseline.

For identity-led environments, the same logic applies to secrets and service accounts. NHIs are often more numerous and more exposed than human identities, so they deserve early attention. NHIMG notes that NHIs outnumber human identities by 25x to 50x in modern enterprises, and only 5.7% of organisations have full visibility into service accounts. That makes secret inventory, rotation, and removal of hard-coded credentials practical first moves, not advanced maturity items. Incidents such as JetBrains GitHub plugin token exposure and Hard-Coded Secrets in VSCode Extensions show how quickly one weak baseline control can expose many downstream systems.

• Start with controls that are universal: MFA, patch management, endpoint protection, and alerting.
• Then add high-leverage identity controls: secrets inventory, rotation, and offboarding for API keys and service accounts.
• Use asset coverage and incident frequency to decide sequencing, not vendor roadmaps or feature availability.
• Measure success with simple evidence: patch age, MFA enforcement, secret rotation age, and alert response time.

These controls tend to break down when organisations have large numbers of unmanaged service accounts, embedded secrets in developer tooling, or fragmented ownership across infrastructure and application teams because no single group can enforce the baseline end to end.

Common Variations and Edge Cases

Tighter baseline controls often increase operational overhead, requiring organisations to balance reduced risk against rollout friction and support load. That tradeoff becomes especially visible when the environment includes legacy systems, M&A integration, or third-party automation that cannot tolerate aggressive change windows. Current guidance suggests that in those cases, prioritisation should focus on compensating controls first, then staged remediation, rather than waiting for a perfect enterprise-wide reset.

One important edge case is non-human identity sprawl. If the biggest exposure is OAuth grants, service accounts, or CI/CD secrets, the baseline must expand beyond user MFA into credential hygiene and visibility. NHIMG research shows 85% of organisations lack full visibility into third-party vendors connected via OAuth apps, and 96% store secrets outside of secrets managers in vulnerable locations. That shifts the priority order: inventory and revoke before you optimise. The same is true where supplier plugins or build tools can introduce tokens at scale, as seen in JetBrains Marketplace AI Plugin Campaign. The right baseline is the one that closes the largest recurring gap, not the one that sounds most complete on paper.

Related resources from NHI Mgmt Group

• How do organisations decide whether to prioritise access reviews, lifecycle automation, or shadow IT detection first?
• Should organisations prioritise external exposure or internal credential governance first?
• How do organisations decide whether to prioritise multi-framework compliance or stronger data security first?
• Which controls should organisations prioritise first for machine IAM maturity?