It creates more risk when employees can bypass review to buy tools outside approved channels. That often leads to SaaS sprawl, duplicate applications, hidden compliance gaps, and unmanaged data exposure. Organisations should decentralise information and recommendations, but keep approval and procurement guardrails in place for higher-risk or new applications.
Why This Matters for Security Teams
Decentralised app purchasing can reduce bottlenecks, but it also weakens the control points that security, procurement, and compliance teams depend on. When employees can self-select software, the organisation often gains speed at the cost of visibility, contract discipline, and data governance. That is especially risky when purchased tools connect to sensitive systems, process regulated data, or introduce third-party OAuth access that never enters the formal review path. NHI Management Group’s The State of Non-Human Identity Security notes that 85% of organisations lack full visibility into third-party vendors connected via OAuth apps, which is exactly the kind of blind spot decentralised buying can amplify.
The governance issue is not decentralisation itself. It is decentralisation without boundaries: unclear approval thresholds, weak vendor intake, and no enforced data classification or security review. Mature teams use decentralised discovery and recommendations, then keep central guardrails for identity, procurement, legal, and risk review. That aligns with the intent of the NIST Cybersecurity Framework 2.0, which emphasises governance and supply chain risk management as operational necessities, not optional paperwork. In practice, many security teams discover the real risk only after shadow SaaS has already spread across departments.
How It Works in Practice
The practical test is whether the purchasing model preserves control over what is bought, who approves it, what data it touches, and how it is retired. Decentralised information sharing can be healthy when employees can compare approved tools, see recommended alternatives, and understand cost, risk, and data handling. The failure mode begins when those recommendations become a substitute for approval and procurement.
Strong programmes separate discovery from authorisation. Employees may suggest or request tools locally, but security and procurement still decide whether the app can connect to production data, create accounts, or receive delegated access. That review should include identity controls, contract terms, retention, logging, and vendor posture. The NIST Cybersecurity Framework 2.0 and NIST SP 800-53 Rev 5 Security and Privacy Controls both support this kind of control separation through governance, access management, and supply chain oversight.
Operationally, organisations usually need three gates:
- an intake gate for business justification and data classification
- a security gate for SSO, OAuth scope, logging, and vendor risk review
- a procurement gate for contract terms, renewals, and approved spend
This is where NHIMG guidance on Top 10 NHI Issues and the Ultimate Guide to NHIs - Lifecycle Processes for Managing NHIs matters: app approvals increasingly create non-human identities through API keys, service accounts, and delegated tokens. Once those identities exist, they need ownership, rotation, revocation, and inventory discipline. These controls tend to break down in fast-growing SaaS environments with decentralized budgets because no single team can see the full chain from purchase to active access.
Common Variations and Edge Cases
Tighter approval control often increases cycle time, so organisations have to balance speed against the risk of uncontrolled software sprawl. The right answer is not always central approval for every request; current guidance suggests the highest-friction controls should be reserved for tools that handle regulated data, create external identity connections, or require production access.
Low-risk collaboration tools may be handled with lighter review if they sit outside sensitive workflows, but that is a policy decision, not an assumption. Best practice is evolving toward risk-tiered buying: standardised pre-approved catalogues for common use cases, accelerated review for low-risk requests, and mandatory governance review for novel, high-integrity, or data-bearing applications. That approach is consistent with Ultimate Guide to NHIs - Regulatory and Audit Perspectives, because auditors rarely accept "the team moved fast" as a control rationale when access, records, or vendor obligations are missing.
Decentralisation also becomes riskier when finance, IT, and security use different records. If the buying process is fragmented, duplicate subscriptions, orphaned integrations, and hidden data processors become normal. The safest operating model is to decentralise recommendation and discovery, then centralise authority for approval, identity creation, and offboarding. That is especially important when a tool can create non-human identities or connect to customer, employee, or payment data without a durable owner.
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 SP 800-63 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | GV.SC-1 | Covers governance of supply-chain and vendor risk in software purchasing. |
| NIST SP 800-63 | Supports identity proofing and assurance for delegated access decisions. | |
| OWASP Non-Human Identity Top 10 | NHI-01 | Addresses unmanaged non-human identities created by SaaS apps and integrations. |
Set approval criteria for new apps and require risk review before spend is committed.
Related resources from NHI Mgmt Group
- When does JIT access create more risk than it reduces?
- When does decentralised digital currency create more operational risk than it reduces for organisations?
- Why do AI agents create governance risk when they query live business context from catalog systems?
- Why does a Greenfield migration usually create more governance and change-management risk than a Brownfield conversion?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on August 27, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org