They often assume API calls or data volume will be easy to forecast and easy to tie back to business value. In practice, identity-based metrics are usually easier to understand because they map to real access populations. The mistake is choosing a billing unit that finance and security cannot both validate.
Why This Matters for Security Teams
Usage-based authorization pricing sounds tidy because it appears to convert access into a measurable unit. The problem is that security teams rarely manage neat, stable usage patterns. They manage changing populations, bursty workloads, and exceptions that finance cannot validate from API volume alone. When a billing model depends on calls, data volume, or events, it often rewards the easiest-to-count activity rather than the access model that actually reflects risk.
NHI Management Group research shows that NHIs outnumber human identities by 25x to 50x in modern enterprises, which is exactly why pricing tied to usage can mislead buyers: the operational reality is identity sprawl, not simple consumption. That is also why the Ultimate Guide to NHIs emphasizes lifecycle control and visibility over simplistic activity metrics. In practice, a cost model that cannot be reconciled to access populations often becomes a governance problem disguised as procurement. In practice, many security teams encounter budget overruns and tool abandonment only after the billing unit has already distorted deployment decisions.
How It Works in Practice
The core mistake is assuming that usage is the same thing as accountability. For security tooling, the more useful question is usually: which identities, workloads, or tenants are being protected, and what is the scope of enforcement? That maps more cleanly to real operations than raw event counts. The NIST Cybersecurity Framework 2.0 reinforces this general principle by pushing organisations to tie security outcomes to business context, not just technical telemetry.
In practice, a usage-based pricing model can work when the measured unit is stable, auditable, and directly linked to the protected asset. It becomes fragile when the unit is noisy or easy to game. Security teams should test whether the vendor can explain billing in terms that both finance and operations can verify. Common checks include:
- Can the vendor map charges to identities, workloads, or control domains rather than only API traffic?
- Does the meter change when logging verbosity, retries, or automation loops increase?
- Can the same event be attributed consistently across security, finance, and engineering teams?
- Are idle-but-required protections billed the same way as active use, and is that acceptable?
For NHI controls, this matters because the cost of protection often follows the number of identities, secrets, and monitored connections, not the number of “uses” in a given month. The Ultimate Guide to NHIs documents how widespread visibility gaps and long-lived credentials make lifecycle management the real control point. When pricing is based on usage, teams may suppress telemetry, reduce coverage, or delay onboarding just to stay within budget. These controls tend to break down when workloads generate unpredictable bursts, because metering noise becomes indistinguishable from legitimate security activity.
Common Variations and Edge Cases
Tighter usage-based pricing often improves vendor revenue predictability at the cost of buyer predictability, so organisations have to balance accounting simplicity against operational fairness. Best practice is evolving here, and there is no universal standard for which billing unit is most defensible across all security categories.
Identity-based metrics are usually easier to govern for NHI products because they align with actual access populations. That said, there are exceptions. A log-heavy detection platform may reasonably price by event volume if the buyer understands that ingestion, retention, and analytics scale with data. A secrets platform may use active vault requests if that request count truly drives backend cost. But when a product protects autonomous systems, API gateways, or sprawling service accounts, usage often undercounts the standing risk surface.
Security teams should also watch for hidden incentives. Vendors may encourage narrow deployment patterns that minimize metered activity, even when broader coverage would reduce risk. That creates a mismatch between commercial optimization and security posture. The right question is not whether usage can be measured, but whether it is the least ambiguous and most auditable measure for both sides. That is the standard NHI Management Group recommends, because a pricing model that finance cannot validate and security cannot defend will eventually be treated as a failed control, not a commercial innovation.
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 address the attack and risk surface, while NIST CSF 2.0 and NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-01 | Usage-based pricing often obscures NHI inventory and ownership. |
| NIST CSF 2.0 | GV.PO-1 | Billing models should align with policy, accountability, and business context. |
| NIST AI RMF | AI RMF supports outcome-based governance when workloads and usage are dynamic. |
Define procurement criteria that require pricing units finance and security can both verify.
