Treat fragmented identity controls as a multiplier on project cost. Budget for inventory, access governance cleanup, policy updates, evidence collection, and the time senior staff will spend coordinating between security, HR, legal, and engineering. If access management is manual, the compliance programme will inherit that manual effort.
Why This Matters for Security Teams
SOC 2 readiness becomes expensive fast when identity controls are spread across HR systems, cloud consoles, directories, PAM, and ad hoc spreadsheets. Fragmentation forces teams to prove who had access, why they had it, when it changed, and whether it was removed on time. That is not just a controls problem, it is a staffing problem, because every exception creates more review, more evidence, and more coordination.
In practice, this cost is often underestimated because identity work looks “already done” until auditors ask for traceability. NHI Management Group’s Ultimate Guide to NHIs shows how widely distributed non-human access can be, and why fragmented ownership creates blind spots. The same pattern appears in broader identity programs: the NIST Cybersecurity Framework 2.0 pushes organisations toward clearer governance and repeatable control evidence, but readiness still depends on how clean the underlying identity model is.
Budgeting should therefore assume remediation work, not only assessment work. If access decisions are manual or inconsistent, audit preparation inherits that manual effort. In practice, many security teams discover the true cost only after evidence requests expose inconsistent joiner-mover-leaver handling and undocumented service access.
How It Works in Practice
A practical SOC 2 budget starts with scope mapping, then expands into the work required to make identity controls testable. The first line item is inventory: humans, service accounts, API keys, shared accounts, privilege paths, and the systems that govern them. The second is cleanup: removing stale access, consolidating owners, standardising joiner-mover-leaver workflows, and documenting approval logic. The third is evidence operations: screenshots, exports, ticket trails, and recurring review logs that can be reproduced on demand.
Teams should also budget for governance coordination. Identity evidence rarely sits in one function, so readiness usually depends on security, IT, HR, legal, engineering, and finance agreeing on process ownership. That alignment effort is often larger than the tooling spend. The State of Secrets in AppSec notes that organisations maintain an average of 6 distinct secrets manager instances, which is a useful signal for how fragmentation multiplies operating cost. For identity-heavy environments, that kind of sprawl usually means more integrations, more review paths, and more remediation exceptions.
- Inventory all identity stores and classify them by control owner.
- Separate human access, service access, and privileged access in the budget model.
- Include time for access recertification and exception closure before the audit window.
- Fund a repeatable evidence process, not a one-time document scramble.
- Assign a single coordinator for cross-functional control testing.
Budgeting should also account for tooling gaps where current guidance suggests automation is needed but not yet standardised across the stack, especially when identity data is split across SaaS, cloud, and internal systems. These controls tend to break down when access is granted outside central systems, because auditors cannot trace approval and revocation through one authoritative record.
Common Variations and Edge Cases
Tighter identity governance often increases short-term overhead, requiring organisations to balance auditability against delivery speed and operational friction. That tradeoff is especially visible in startups, mergers, and multi-cloud estates where no single identity source of truth exists. In those environments, the right budget is usually phased: stabilise the highest-risk accounts first, then expand control coverage as the process matures.
There is no universal standard for how much to spend on remediation versus tooling, but best practice is evolving toward control consolidation before certification work begins. The most expensive edge case is mixed ownership, where one team manages human access, another manages secrets, and a third manages privileged service accounts. That split creates duplicated evidence requests and makes it hard to prove revocation timelines.
For teams that need a practical benchmark, NHI Management Group’s Top 10 NHI Issues is a useful reminder that visibility, rotation, and offboarding failures often sit underneath broader compliance gaps. Where the environment includes heavy automation or many machine identities, budget more for recurring control validation than for a one-off readiness sprint, because the control drift will return as soon as systems and owners change.
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 |
|---|---|---|
| NIST CSF 2.0 | GV.OC-01 | SOC 2 budgeting depends on clear identity control ownership and scope. |
| OWASP Non-Human Identity Top 10 | NHI-03 | Fragmented identity often means poor rotation and revocation of machine credentials. |
| NIST AI RMF | Readiness programs need accountability and traceability when identity data is fragmented. |
Use AIRMF governance practices to assign accountability and document identity-control decisions.