Security teams should use continuous discovery and streaming monitoring to maintain an up to date view of identities, their permissions, and their access chains. Static inventories go stale quickly, so the control objective is to detect new identities, validate their behavior over time, and tie each identity back to the resources it can reach. That gives responders better context when access changes or anomalies appear.
Why This Matters for Security Teams
Continuous discovery is the only realistic way to keep pace with service accounts, API keys, and tokens in hybrid estates. Cloud platforms, SaaS apps, CI/CD systems, and on-premises workloads all create identities outside the visibility of a single IAM console. Once an identity is missed, it can remain active long after its owner, application, or pipeline has changed.
The risk is not just inventory drift. Secrets often show up in tickets, chat tools, and repositories outside the normal control plane, which is why The State of Secrets Sprawl 2026 found that 28% of secrets incidents now originate outside code repositories and are 13% more likely to be critical than code-based leaks. That pattern reinforces the need for monitoring that spans code, collaboration tools, cloud logs, and runtime telemetry. NIST control guidance in NIST SP 800-53 Rev 5 Security and Privacy Controls also supports ongoing assessment, not one-time asset capture.
In practice, many security teams discover the worst exposure only after a token is used from an unexpected location or a forgotten service account is implicated in an incident.
How It Works in Practice
Effective monitoring combines discovery, correlation, and validation. Discovery finds identities wherever they are created: cloud IAM, Kubernetes, CI/CD variables, vaults, secret managers, source control, collaboration tools, and endpoint images. Correlation then ties each identity back to its owner, workload, permission scope, and runtime behavior. Validation checks whether the identity is still active, whether it is overprivileged, and whether its use matches the expected pattern.
For service accounts and machine credentials, current guidance suggests streaming telemetry is more useful than periodic exports. A daily inventory will miss short-lived tokens, while event-driven monitoring can catch newly minted credentials, privilege changes, and anomalous access chains in near real time. This is especially important for OAuth tokens, API keys, and other secrets that can be copied instantly and reused across environments. NHIMG research on 52 NHI Breaches Analysis shows how often identity exposure becomes a downstream access problem rather than a simple leakage event.
- Scan code, configuration, ticketing, and chat platforms for embedded secrets.
- Ingest cloud audit logs, vault events, and CI/CD runner activity for new credential issuance.
- Continuously map each identity to owner, workload, scope, and last-seen use.
- Alert on credential duplication, stale tokens, offboarding gaps, and privilege expansion.
- Trigger revocation or rotation workflows automatically when risk thresholds are crossed.
Implementation is strongest when paired with secret classification and lifecycle rules, so a token discovered in Slack can be linked to a service owner, assessed for blast radius, and revoked without waiting for a manual review. That is why the Guide to the Secret Sprawl Challenge is useful as an operational reference for spotting spread across systems. These controls tend to break down in multi-tenant SaaS and legacy middleware because ownership metadata is missing or the platform does not expose usable audit events.
Common Variations and Edge Cases
Tighter continuous monitoring often increases engineering and privacy overhead, requiring organisations to balance visibility against data volume, platform coverage, and alert fatigue. There is no universal standard for normal access patterns across all workloads, so teams should expect to tune baselines by identity type instead of applying one threshold everywhere.
Hybrid environments create several edge cases. Shared service accounts complicate attribution, even though they remain common in legacy estates. Ephemeral build agents can generate secrets that disappear before a nightly scan ever runs. SaaS integrations may hide tokens inside vendor-managed settings, while SaaS logs may be too limited to reveal full access chains. In those cases, best practice is evolving toward compensating controls such as stronger naming conventions, scoped vault issuance, short TTLs, and event forwarding into a central detection pipeline.
Where mature organizations often slip is assuming discovery is the same as governance. Discovery only shows that an identity exists. Governance requires that the identity be owned, scoped, monitored, and revoked when it becomes stale. NHIMG’s 2025 State of NHIs and Secrets in Cybersecurity highlights how often tokens remain active after offboarding, which is why monitoring should always feed automated remediation rather than a static report.
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, NIST SP 800-53 Rev 5 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 | Covers discovery and inventory of non-human identities and their lifecycle. |
| NIST CSF 2.0 | ID.AM-1 | Asset inventory is foundational to tracking identities across hybrid environments. |
| NIST SP 800-53 Rev 5 | AC-2 | Account management is directly relevant to service account discovery and oversight. |
| NIST AI RMF | AI RMF emphasizes ongoing monitoring and traceability for dynamic systems. |
Continuously enumerate NHI assets and reconcile them against owners, scopes, and last-seen activity.
Related resources from NHI Mgmt Group
- How should security teams discover hidden access across human, non-human, and agentic identities in hybrid environments?
- How should security teams govern service accounts and API keys across cloud platforms?
- How should security teams use the OWASP NHI Top 10 to prioritise risk reduction across service accounts, API keys, and OAuth apps?
- How should security teams build NHI governance when service accounts and secrets are spread across cloud, SaaS, and on-prem systems?
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
