Entity type custom fields are structured metadata fields that let teams attach additional context to objects such as applications, users, or other records. They improve filtering, reporting, and relationships between records. In governance workflows, they help preserve ownership and classification details that are otherwise difficult to track consistently.
Expanded Definition
Entity type custom fields are a governance mechanism for adding structured metadata to NHI-related objects and adjacent records, such as applications, service accounts, integrations, owners, and environments. In practice, they let security and platform teams standardise details like business unit, system criticality, data sensitivity, environment type, or approval status so records can be queried, reviewed, and controlled consistently.
For NHI programmes, the value is not just administrative. Custom fields create a machine-readable layer that supports lifecycle controls, ownership clarity, and reporting across large identity inventories. That matters because NHI estates often expand faster than human identity inventories, and visibility gaps quickly become operational gaps, as described in the Ultimate Guide to NHIs. The concept is closely related to classification and asset tagging in NIST Cybersecurity Framework 2.0, although no single standard governs entity type custom fields themselves yet, and usage in the industry is still evolving.
The most common misapplication is treating custom fields as optional documentation only, which occurs when teams collect metadata but never use it to drive access, review, or revocation decisions.
Examples and Use Cases
Implementing entity type custom fields rigorously often introduces maintenance overhead, requiring organisations to weigh reporting precision against the cost of keeping metadata current.
- A platform team adds a Ultimate Guide to NHIs-aligned field for owner team so every service account has a named accountable group during access reviews.
- An identity governance workflow uses custom fields for environment classification, separating production API keys from non-production keys and applying stricter approval logic to production.
- A security operations team tags third-party integrations with vendor name and risk tier, then filters records for faster remediation when an external dependency is compromised.
- A data governance team records system sensitivity and regulatory scope, helping auditors trace which non-human identities can reach regulated data sets.
- A reporting dashboard uses the NIST Cybersecurity Framework 2.0 concept of organized asset context to group records by business criticality and review cadence.
Why It Matters in NHI Security
Entity type custom fields matter because NHI security breaks down when teams cannot reliably answer basic questions: who owns this object, what does it control, and how risky is it. Without structured metadata, service accounts and API keys become hard to classify, which weakens lifecycle workflows such as rotation, offboarding, exception handling, and access recertification. That is especially dangerous in environments where secrets are already overexposed, as reflected in NHIMG research showing that only 5.7% of organisations have full visibility into their service accounts in the Ultimate Guide to NHIs.
In governance terms, custom fields turn scattered identity records into control-ready inventory. They support consistent reporting, help separate authoritative data from ad hoc spreadsheet tracking, and make it easier to apply policy based on object type, ownership, and criticality. That aligns with the inventory and categorisation intent reflected in NIST Cybersecurity Framework 2.0, even though implementations vary widely across vendors and internal platforms. Organisational failures typically surface only after a service account is missed during an incident or audit, at which point entity type custom fields become operationally unavoidable to address.
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 and OWASP Agentic AI Top 10 address the attack and risk surface, while NIST CSF 2.0, NIST Zero Trust (SP 800-207) 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 | Structured metadata supports NHI inventory and ownership clarity. |
| NIST CSF 2.0 | ID.AM-1 | Asset inventory practices depend on consistent object classification metadata. |
| NIST Zero Trust (SP 800-207) | Zero Trust decisions rely on contextual identity attributes. | |
| NIST AI RMF | Governance of AI-enabled workflows depends on traceable context attributes. | |
| OWASP Agentic AI Top 10 | Agentic systems need structured object context for safe tool and identity handling. |
Tag every non-human identity with authoritative owner, type, and criticality fields for review and enforcement.
Related resources from NHI Mgmt Group
- What breaks when GenAI trace attributes stay as raw custom fields?
- How should security teams implement DLP for Jira when projects contain sensitive data in issues, comments, attachments, and custom fields?
- How should security teams implement data loss prevention in Salesforce environments with lots of custom objects and unstructured fields?
- Who is accountable for the quality of access request data when approvers rely on custom fields?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on August 28, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
