Yes, where the platform allows it. Managing identities instead of shared secrets reduces duplication, narrows blast radius, and gives teams a cleaner lifecycle model for issuance, renewal, and revocation. The goal is not better secret storage, but fewer secrets in the first place.
Why machine identities change the operating model
Moving from secrets to machine identities is not just a storage improvement, it changes how access is issued, observed, and withdrawn. Shared secrets tend to be copied, embedded, and reused across systems; identities let you attach a distinct actor, policy, and lifecycle to each workload or service, which is the foundation for machine identity governance.
That shift matters because the security question stops being, “Where is the secret kept?” and becomes, “Which workload is allowed to prove itself, for how long, and to which service?” In practice, that is the difference between protecting a bearer token and managing an authenticated, bounded relationship. A good model also gives teams better non-human identity inventory and clearer ownership.
Where platforms support it, machine identities usually improve operational hygiene because renewal and revocation are tied to the entity, not to every place a string was copied. That reduces duplicated credentials, limits shared-access drift, and makes it easier to distinguish routine rotation from actual compromise. It also aligns naturally with workload identity patterns that replace static shared credentials with attested, short-lived trust.
When managing identities is better than managing secrets
The move is strongest when a platform can mint, refresh, and revoke credentials automatically and the consuming service can authenticate without a manually handled static secret. That is especially useful for service-to-service traffic, CI/CD jobs, ephemeral workloads, and other cases where credential sprawl grows faster than human review can track it. Secrets management still matters, but it becomes a fallback control rather than the primary operating model.
Identity-first designs are also better when the platform can express scope and audience cleanly. Instead of one shared secret authorising many calls, each workload can receive only the permissions it needs, for the time it needs them. That makes blast radius smaller and gives security teams a cleaner basis for access review, anomaly detection, and offboarding. For teams that need a practical design baseline, how non-human identities authenticate is the right implementation lens.
Identity-based control is less compelling when the platform cannot issue ephemeral credentials, the application cannot support workload authentication, or the environment still depends on legacy integrations that only understand static secrets. In those cases, better secret storage, tighter rotation, and stronger scanning are still worthwhile. The right decision is not “identity everywhere,” but “identity where the platform can enforce lifecycle and privilege cleanly.”
What changes in risk, lifecycle, and incident response
The main security gain is reduction of secret reuse. A leaked static secret can live far beyond the event that exposed it, especially if it was copied into code, configuration, logs, or multiple environments. By contrast, a machine identity can often be scoped, time-bounded, and revoked in one place. That is why organisations that mature beyond static credentials usually see better outcomes in renewal discipline and faster containment, as shown in rotation challenges for non-human identities.
Lifecycle also becomes more visible. You can ask when the identity was issued, what it was allowed to reach, whether it was used, and whether it still needs to exist. Those are harder questions when the organisation depends on copied secrets and informal handoffs. The downside is that identity systems create their own operational dependency: if issuance, trust, or attestation fails, services can break at scale. That means rollout must be tested with expiry, fallback, and service continuity in mind.
Incidents in the field show the pattern clearly. Access abuse often starts with a secret, but the lasting damage comes from the excessive or persistent privilege behind it. Breaches involving service accounts, exposed API keys, or long-lived tokens are a reminder that the real exposure is not just disclosure, but the ability of the credential to keep working after disclosure. For threat context, real-world NHI breach case studies are useful because they show how credential misuse, lateral movement, and privilege escalation follow the same basic pattern.
Risk and Threat Considerations
Static secrets create durable exposure because they are easy to copy, hard to enumerate, and often over-shared. If a secret reaches code, a ticket, a build log, or a developer laptop, the organisation may not know where else it exists. Machine identities reduce that exposure, but only if issuance, audience restriction, and revocation are enforced consistently across environments.
Failure mechanism: The failure mode is usually secret sprawl or overprivileged shared credentials, followed by delayed detection and incomplete revocation. Attackers prefer these paths because one leaked secret can authenticate from anywhere until it is changed, while a poorly governed machine identity can still be reused, over-scoped, or left active after the workload changes.
Impact: The impact is broader blast radius, longer dwell time, and weaker accountability. A compromised machine identity can expose production data, move laterally between services, or survive application changes unless ownership, renewal, and offboarding are tightly controlled.
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 API Security Top 10 address the attack and risk surface, while NIST SP 800-53 Rev 5, NIST Zero Trust (SP 800-207) and CIS Controls v8 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-07 — Long-Lived Secrets | Directly addresses the risk of static, durable credentials in machine access. |
| NHI-05 — Overprivileged NHI | Machine identities must be scoped to reduce blast radius and excess access. | |
| NHI-01 — Improper Offboarding | Identity-based access needs clean revocation when workloads or services are retired. | |
| Recommendation — Prefer short-lived, rotated credentials over shared long-lived secrets. Scope each machine identity to the minimum permissions it needs. Revoke unused machine identities as part of service retirement and change control. | ||
| NIST SP 800-53 Rev 5 | IA-9 — Service Identification and Authentication | Machine-to-machine access is the core control problem in this question. |
| IA-5 — Authenticator Management | Secret rotation, renewal, and revocation are central when replacing shared secrets. | |
| Recommendation — Use service-to-service authentication that uniquely identifies each workload. Manage authenticator lifecycle with rotation, expiration, and revocation. | ||
| NIST Zero Trust (SP 800-207) | SC-?? — Zero Trust Architecture | Identity-first access for workloads aligns with least-privilege, verify-every-request design. |
| Recommendation — Apply zero trust principles to workload access and deny implicit trust. | ||
| CIS Controls v8 | 5 — Account Management | Machine identities are accounts that need inventory, ownership, and retirement. |
| Recommendation — Inventory and retire machine accounts with the same rigor as user accounts. | ||
| OWASP API Security Top 10 | API2 — Broken Authentication | Machine-to-machine access often fails through weak or shared authentication. |
| API5 — Broken Function Level Authorization | Identity-based access should narrow what each workload can do. | |
| API10 — Unsafe Consumption of APIs | Workload identity choices affect how safely services call upstream APIs. | |
| Recommendation — Replace shared API secrets with stronger, workload-bound authentication. Authorize each machine identity to only the functions it truly needs. Validate upstream trust and scope API consumption to expected workloads. | ||
Practitioner Guidance
What to verify: Before moving, verify that the platform can issue short-lived credentials, bind them to workload context, and revoke them without a manual hunt for copies. If you cannot prove those three behaviours, you have not really replaced secrets, you have only centralised them.
Decision rule: If a service can authenticate with an attested or federated workload identity, prefer that path over a shared secret. If not, keep the secret but tighten rotation, scope, and detection until the platform is ready.
What good looks like: Each workload has its own identity, credentials expire by default, access is narrowly scoped, and revocation is routine rather than emergency-driven. The best sign of progress is when teams spend less time recovering from leaked credentials and more time validating who or what is allowed to connect.
Practitioner takeaway: Move to machine identities where the platform can truly enforce lifecycle and least privilege, because the strategic win is not better vaulting, it is eliminating shared, durable access paths.
Related resources from NHI Mgmt Group
- How can organisations reduce the blast radius of compromised agent identities?
- What is the difference between managing human accounts and non-human identities?
- What breaks when organisations keep using long-lived secrets for machine identities?
- When should organisations move from managing secrets to issuing dynamic identity for workloads and agents?