Requesters start choosing access by guesswork, familiarity, or peer imitation instead of by role fit and task need. That increases the chance of requesting the wrong application or entitlement, which in turn forces approvers to correct avoidable errors and lets excess access enter the governance process.
Why This Matters for Security Teams
Large entitlement catalogs create a usability problem that quickly becomes a governance problem. When requesters cannot reliably distinguish one application, role, or entitlement from another, they stop making precise requests and start approximating. That drives avoidable exceptions, slows approvals, and weakens the quality of access decisions before any technical control is even evaluated. This is especially dangerous in high-volume environments where entitlement sprawl is already difficult to control.
NHI Management Group’s Ultimate Guide to NHIs notes that only 5.7% of organisations have full visibility into their service accounts, which shows how quickly identity governance breaks down when inventories and request paths are not curated. The same pattern appears in human access workflows: if the catalog is too broad to navigate, requesters default to familiarity, copying peers, or selecting the nearest match. That undermines least privilege and makes review quality depend on user guesswork rather than policy intent. Guidance from the NIST Cybersecurity Framework 2.0 reinforces that access governance only works when identities, assets, and permissions are knowable and manageable. In practice, many security teams discover catalog complexity only after recurring access mistakes have already polluted the approval queue.
How It Works in Practice
When catalogs become too large, the failure is usually not malicious. It is decision fatigue. Requesters search by name recognition instead of entitlement semantics, so the interface becomes a proxy for judgment. If the catalog does not explain business function, data sensitivity, or intended task scope, the requester has no reliable basis for choosing the right access. The result is a weak intake signal that forces approvers to become translators rather than policy enforcers.
Effective catalogs reduce entropy by making the right choice obvious. Current guidance suggests structuring entries around the way people actually work:
- Group entitlements by business task, system, or role family rather than by technical owner alone.
- Use plain-language descriptions that identify purpose, data domain, and typical duration.
- Mark deprecated, duplicate, or superseded entitlements clearly so they are not treated as viable options.
- Surface risk indicators, such as privileged scope or sensitive-system access, at request time.
This matters for both human and non-human access. NHI Management Group’s Ultimate Guide to NHIs highlights how entitlement confusion is amplified when service accounts, API keys, and automation pipelines are not visible in a single governance model. For identity programs that span humans and NHIs, the catalog should map cleanly to policy, approval routing, and periodic review. Standards such as the NIST Cybersecurity Framework 2.0 support this by emphasizing controlled access and ongoing oversight rather than one-time provisioning. These controls tend to break down when the catalog contains too many near-duplicate items across legacy apps, because requesters cannot tell which entry is authoritative.
Common Variations and Edge Cases
Tighter catalog design often increases administrative overhead, requiring organisations to balance requester simplicity against the cost of rationalising legacy entitlements. That tradeoff becomes more visible in mergers, shared-service environments, and federated IAM programs where multiple naming conventions coexist. There is no universal standard for catalog taxonomy yet, so organisations usually need local rules that fit their application landscape while still enforcing consistent request semantics.
Common edge cases include:
- Legacy applications that expose dozens of nearly identical entitlements with no reliable metadata.
- Outsourced or third-party access requests where the requester knows the target system but not the correct entitlement label.
- Privileged access catalogs that mix standing admin roles with temporary elevation paths, creating confusion about duration and approval depth.
Best practice is evolving toward fewer, better-described request options, plus guided request flows that pre-filter by role, team, or task. That approach reduces guesswork without hiding the true approval path. Where catalog rationalisation is incomplete, security teams should treat confusion itself as a governance signal and tighten review thresholds accordingly. NHI Management Group’s research shows that excessive privileges remain common across identity estates, and that is exactly why bad catalog design matters: noisy request processes make excess access easier to introduce and harder to detect.
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, CSA MAESTRO and OWASP Agentic AI 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 | PR.AC-4 | Access permissions must be understandable enough to request and review correctly. |
| OWASP Non-Human Identity Top 10 | NHI-02 | Catalog sprawl increases the chance of mis-scoped access and poor entitlement hygiene. |
| CSA MAESTRO | GOV-03 | Governance depends on clear entitlement semantics and reviewable access requests. |
| NIST AI RMF | AI RMF is relevant when catalogs drive automated or semi-automated access decisions. | |
| OWASP Agentic AI Top 10 | A2 | Autonomous requesters magnify catalog confusion by selecting access without stable intent. |
Rationalise entitlements and remove duplicates so requesters are not exposed to noisy access choices.