TL;DR: Machine identity management covers the lifecycle of certificates, keys, and device credentials used by servers, endpoints, and IoT systems, and StrongDM says 61% of enterprises still lack the knowledge required to manage them effectively. That gap keeps machine identity governance tied to manual work, weak inventory, and avoidable access failures.
At a glance
What this is: This is a plain-English explainer of machine identity management that shows why certificate, key, and device credential lifecycles are hard to govern at enterprise scale.
Why it matters: IAM, PAM, and NHI teams need to treat machine identities as governed assets because stale certificates, poor inventory, and manual renewal workflows quickly become access and availability risks.
By the numbers:
- 61% of enterprises are not sufficiently equipped to manage machine identities because they lack the required knowledge of their certificates and keys.
- 55% of those businesses reported having a cyber breach.
Context
Machine identity management is the discipline of issuing, tracking, renewing, and revoking the credentials that let servers, endpoints, mobile devices, and IoT systems authenticate to other systems. In this article, StrongDM frames the problem as one of lifecycle control, not just authentication design, because machine identities are now spread across cloud, hybrid, and remote environments.
The governance gap is visibility. When certificates, keys, and device credentials are not inventoried and lifecycle-managed, organisations lose track of what is still active, what has expired, and what should have been revoked. That creates avoidable access failures for legitimate systems and avoidable exposure for everyone else.
For IAM and NHI practitioners, the article is useful because it shows that machine identities are not a niche infrastructure concern. They are an identity class with their own provisioning, maintenance, and decommissioning obligations, and the controls that work for humans do not automatically scale to them.
Key questions
Q: What breaks when machine identities are governed separately from human IAM?
A: Separate governance creates blind spots in entitlement review, revocation, and monitoring. A machine identity can retain broad access long after the business need changes, and teams may never see it inside the human access review cycle. That leaves runtime access outside normal oversight.
Q: Why do expired or unrevoked machine credentials create breach risk?
A: Because once a certificate or key is still trusted by a system, it can authenticate access even after the original operational need has passed. That turns lifecycle failure into a security issue: attackers look for credentials that remain valid, while defenders struggle when inventory and revocation state are incomplete.
Q: How do security teams know if machine identity governance is working?
A: Look for fewer standing accounts, faster onboarding of automation workflows, auditable role approvals, and visible retention of access records after logout. If teams still depend on manual tracking to explain machine access, governance is only partially effective. Working machine identity governance should reduce both operational overhead and review friction.
Q: Should organisations prioritise Zero Trust for machine identities before broader IAM changes?
A: Yes, if machine identities are already driving a large share of your access surface. Zero Trust is most useful when it constrains the identities that can move laterally, call services, or carry long-lived privileges. If those identities remain over-privileged or unmanaged, broader IAM improvements will still leave the highest-risk access paths exposed.
Technical breakdown
How machine identities authenticate systems
A machine identity is a credentialed identity assigned to a device or workload so it can prove itself to another system. In practice, that proof usually relies on certificates, keys, and protocol checks that compare the presented credential with an inventory or trust store. The important distinction is that the machine is not “logging in” like a person; it is establishing trust for system-to-system communication. That means the security model depends on accurate issuance, binding, and validation, plus a reliable way to know which credentials are still in circulation.
Practical implication: treat machine authentication as a governed identity flow, not a one-time configuration step.
Why the machine identity lifecycle breaks at scale
Machine identity management becomes difficult because the lifecycle is continuous and operationally noisy. Credentials are issued, documented, provisioned, renewed, and revoked across many teams, and every missed step creates either an outage or an exposure window. The article’s core point is that manual handling does not scale when machines are added daily and environments are distributed across cloud and hybrid estates. The control failure is not just lack of process, but lack of reliable state: teams cannot govern what they cannot enumerate with confidence.
Practical implication: build lifecycle visibility around inventory, expiry, and revocation state before expanding machine access further.
Why legacy IAM controls struggle with certificates and keys
Legacy IAM is often built around human accounts with relatively stable authentication events and review cycles. Machine identities behave differently because certificates, TLS keys, and SSH keys can be created, rotated, and retired frequently, and many are embedded in applications or infrastructure workflows rather than used interactively. That makes entitlement review, offboarding, and least-privilege enforcement much harder if the programme still relies on periodic human-centric access reviews. The article also ties this to Zero Trust, where continuous verification only works if the machine credential estate is accurately governed.
Practical implication: align IAM and Zero Trust controls to machine credential lifecycles instead of forcing human access patterns onto them.
Threat narrative
Attacker objective: The attacker aims to turn trusted machine authentication into unauthorized access that can be used for theft, manipulation, or operational disruption.
- Entry occurs when a forged or misused machine identity is accepted because a certificate, key, or device credential is still trusted in the environment.
- Credential abuse follows when expired, overexposed, or poorly tracked machine credentials remain valid and can be used to authenticate system access.
- Impact emerges when attackers use that authenticated access to reach internal resources, steal data, modify systems, or disrupt availability.
Breaches seen in the wild
- Microsoft Midnight Blizzard breach: Midnight Blizzard (APT29) exploited legacy test account without MFA to breach Microsoft.
Read and download The State of NHI & AI Agent Breach Report 2026, covering 150+ breaches impacting Non-Human Identities including AI Agents.
NHI Mgmt Group analysis
Machine identity management is now a lifecycle governance problem, not a certificate administration problem. StrongDM’s article is really describing a control plane issue: organisations must know what machine credentials exist, where they live, who depends on them, and when they should disappear. Without that lifecycle view, certificates and keys outlive the systems they were meant to protect. The practitioner conclusion is simple: machine identity governance has to be treated as an identity programme, not an infrastructure afterthought.
Legacy IAM control assumptions do not survive the scale and churn of machine identities. Human IAM tools assume identities are relatively visible, reviewable, and connected to stable ownership. Machine credentials are often distributed across teams, embedded in automation, and renewed on operational timelines that make periodic review too slow to be reliable. The implication is that access governance for machines needs continuous inventory and revocation discipline, not just access certification cycles.
Ephemeral credential trust debt: machine credentials accumulate hidden risk when organisations issue them faster than they can document, rotate, and revoke them. This is the article’s real warning, and it explains why manual administration creates both outage risk and breach risk. When teams cannot trust their inventory, they cannot trust their access posture. The practitioner conclusion is to measure the age, ownership, and revocation status of every machine credential as a governance baseline.
Zero Trust only works for machine identities when the credential estate is already coherent. The article correctly links machine identity management to continuous verification, but continuous verification is only meaningful if certificates, keys, and access relationships are current. If the underlying credential population is stale or incomplete, Zero Trust becomes a label rather than a control. The practitioner conclusion is to verify machine identity state before claiming Zero Trust maturity for cloud or hybrid estates.
From our research library:
- 69% of security leaders agree identity management must fundamentally shift to address agentic AI systems, according to the 2026 Infrastructure Identity Survey.
- Read next: Ultimate Guide to NHIs
What this signals
Ephemeral credential trust debt: machine identity programmes fail when issuance is faster than documentation, renewal, and revocation, because the organisation no longer knows which credentials still represent active access. That gap is what turns ordinary operational drift into security exposure, and it is why machine identity governance belongs inside the broader IAM operating model.
Cloud and hybrid environments intensify the problem because machine identities are now everywhere and often tied to automation rather than direct human oversight. Practitioners should expect the governance burden to shift from periodic review to continuous state management, especially where certificates and SSH keys support critical services.
For practitioners
- Map machine identity ownership and lifecycle state Create an inventory that ties every certificate, key, and device credential to a system owner, expiry date, and revocation path. Include cloud, hybrid, and remote assets so the programme can see what is active and what should be retired.
- Automate renewal and revocation workflows Replace manual renewals with workflows that refresh certificates and revoke access when devices are decommissioned or no longer authorised. Prioritise systems where expiry or missed revocation can disrupt production or expose sensitive services.
- Centralise machine identity governance Use one operating model for issuance, documentation, provisioning, renewal, and revocation so different teams do not create conflicting certificate practices. Standardisation reduces audit gaps and makes exceptions visible.
- Reduce standing access to keys and privileged machine credentials Limit which administrators and services can view or use private keys, SSH keys, and other privileged machine credentials. Apply least privilege to the people and systems that manage the credential estate, not just to the machines themselves.
Key takeaways
- Machine identity risk is driven by lifecycle failure, not by authentication alone, because certificates and keys can stay trusted after their operational purpose has ended.
- The article ties poor machine identity knowledge to breach exposure, with 61% of enterprises lacking the required knowledge of their certificates and keys.
- Organisations need inventory, ownership, renewal, and revocation controls that make machine credentials governable at cloud and hybrid scale.
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 addresses the attack and risk surface, while NIST SP 800-53 Rev 5 and NIST CSF 2.0 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-02 — Secret Leakage | Leaked or unmanaged certificates and keys are central to this article's machine identity risk. |
| NHI-05 — Overprivileged NHI | The article warns that too many privileged users can access key material and machine credentials. | |
| NHI-07 — Long-Lived Secrets | Manual renewal and missed revocation leave machine credentials active longer than intended. | |
| Recommendation — Scan for exposed machine credentials and revoke any certificates or keys that are no longer governed. Reduce access to machine credentials and enforce least privilege around key management duties. Set expiry, renewal, and revocation controls so machine credentials do not persist beyond their needed lifetime. | ||
| NIST SP 800-53 Rev 5 | IA-5 — Authenticator Management | IA-5 directly governs issuance, rotation, and lifecycle handling of authenticators such as keys and certificates. |
| Recommendation — Apply authenticator management controls to rotate, revoke, and retire machine credentials on schedule. | ||
| NIST CSF 2.0 | PR.AA-05 — Access Permissions, Entitlements and Authorizations | The article is fundamentally about governing machine access privileges over time. |
| Recommendation — Review machine entitlements continuously so expired or unnecessary access is removed promptly. | ||
Key terms
- Machine Identity: The digital identity of a machine, device, or workload, such as a server, container, or VM, used to authenticate it within a network. Sometimes used interchangeably with NHI, though NHI is the broader category.
- Machine identity lifecycle: Machine identity lifecycle is the full governance process for a non-human identity from creation to retirement. It includes provisioning, access scoping, rotation, renewal, offboarding, and auditability, and it fails when any one of those steps is handled manually or inconsistently.
- Certificate Revocation List: A Certificate Revocation List is a signed publication from a certificate authority that lists certificates that are no longer trusted before their natural expiry. It is used by relying systems to confirm current status, and it becomes operationally useful only when the list is reachable, current, and readable by the consuming toolchain.
- Zero Trust Verification Boundary: The set of systems and identities that a programme actively validates before trusting access. If the boundary excludes a major cloud tenant, the programme is only partially operating as Zero Trust, even if the policy language says otherwise.
Deepen your knowledge
NHI governance, machine identity security, and identity lifecycle management are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are building or maturing an IAM programme, it is worth exploring.
Published by the NHIMG editorial team on May 31, 2026.
Updated on October 7, 2026.
NHI Mgmt Group, the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org