Cryptographic assets belong in identity governance because they are credentials that authenticate systems, services, and devices. If they are not inventoried and lifecycle-managed, they behave like standing non-human identities with no clear ownership. That creates the same governance problems seen in other machine identity domains: sprawl, stale access, and weak accountability.
Why This Matters for Security Teams
Cryptographic assets belong in identity governance because they are not just technical artifacts. They are the machine credentials that prove who or what is allowed to connect, sign, encrypt, or call an API. When certificates, tokens, SSH keys, and API keys are managed outside identity processes, they accumulate like unmanaged non-human identities, which creates stale trust, unclear ownership, and hidden privilege. That is why NHI governance guidance increasingly treats secrets as identities in practice, not as isolated configuration data.
This matters because identity teams are often the only function with the lifecycle controls, ownership workflows, and access review discipline needed to manage these assets at scale. NHIMG’s Ultimate Guide to NHIs frames the issue as a lifecycle problem, and the NIST Cybersecurity Framework 2.0 reinforces that governance must cover the full identity and access surface, not just human accounts. In practice, many security teams discover their worst credential sprawl only after a service outage, a leaked token, or a compromise has already forced an emergency rotation.
How It Works in Practice
Operationally, treating cryptographic assets as identity means placing them under the same controls used for privileged human access: inventory, ownership, issuance, review, rotation, revocation, and exception handling. A certificate authority, secrets manager, or cloud key service should not be viewed as a separate silo from IAM. Instead, it should feed the same governance record that tracks which system owns the credential, what it authenticates, where it is used, and when it expires.
That model works best when the identity lifecycle is explicit. Teams should know:
- who owns each secret or key, including service and application ownership
- what business function or workload depends on it
- how long it remains valid and what triggers renewal
- where it is stored, distributed, and logged
- how revocation is tested and enforced
This is where current guidance suggests aligning identity governance with cryptographic hygiene. For example, the Top 10 NHI Issues highlights rotation and visibility gaps, while NIST’s identity guidance and the broader zero trust approach support short-lived credentials, strong ownership, and continuous verification. External frameworks such as NIST CSF 2.0 and zero trust principles also push organizations toward tighter control of machine-to-machine trust relationships.
In practice, this usually means moving from ad hoc key handling to policy-driven issuance and review. A service identity should not keep a long-lived API key simply because it was easier to deploy. Instead, the credential should be tied to a controlled lifecycle, preferably with automated expiration, renewal, and revocation. These controls tend to break down in legacy environments where hard-coded secrets, embedded certificates, and unmanaged service accounts are deeply tied to application uptime.
Common Variations and Edge Cases
Tighter cryptographic governance often increases operational overhead, so organisations have to balance control against deployment friction. The answer is not always to rotate everything aggressively or replace every credential overnight. Best practice is evolving, and there is no universal standard for this yet, especially across hybrid estates, embedded systems, and third-party integrations.
Some environments need special handling. Long-lived certificates in industrial systems may be hard to replace without downtime. Shared API keys in SaaS integrations may still exist because vendors do not support per-workload identity. Cloud-native systems may support short-lived tokens, but only if workload identity is designed correctly from the start. In these cases, identity governance should focus on compensating controls: exception registers, owner attestation, monitoring for unusual use, and a documented retirement plan.
NHIMG’s 52 NHI Breaches Analysis shows why this discipline matters: cryptographic assets often become the entry point for broader compromise when they are overexposed or never retired. The practical takeaway is simple. If a credential can authenticate a system, it belongs in the identity inventory, even when it is stored in a vault or issued by a separate platform. Otherwise, governance gaps remain invisible until incident response exposes them.
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 CSA MAESTRO 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 | Covers inventory and ownership of machine identities and their credentials. |
| NIST CSF 2.0 | PR.AA | Identity governance includes authenticating systems through managed cryptographic credentials. |
| NIST Zero Trust (SP 800-207) | ID | Zero trust requires explicit identity for workloads and short-lived trust relationships. |
| CSA MAESTRO | G1 | Agent and workload governance depends on managing credentials that enable autonomous access. |
| NIST AI RMF | GOVERN | AI governance needs accountability for the identities and secrets used by automated systems. |
Inventory every cryptographic asset, assign ownership, and track lifecycle status like any other non-human identity.
