Human identities set the baseline, but NHI governance is now critical

At a glance

What this is: This is a primer on human identities in IAM, and its key finding is that traditional user-centric controls are no longer enough once NHIs enter the same access model.

Why it matters: It matters because IAM teams must govern both people and machine identities consistently, or they will miss the privilege, visibility, and lifecycle gaps that NHIs create.

By the numbers:

• NHIs outnumber human identities by 25x to 50x in modern enterprises.
• Only 5.7% of organisations have full visibility into their service accounts.

👉 Read the source article on human identities and NHI governance

Context

A human identity is a verified person in an IAM system, but that model breaks down when automation, service accounts, and API keys carry persistent access across cloud and SaaS environments. The primary NHI governance issue is not whether humans still matter, but whether identity controls can extend cleanly to machine-held privileges without losing auditability or least privilege.

The article starts from a familiar IAM foundation, which is typical for organisations trying to explain identity governance from first principles. That framing is useful because it exposes the exact point where human-centric controls stop being sufficient and NHI lifecycle management becomes mandatory.

For teams looking to align the two identity classes, the practical reference point is the Ultimate Guide to NHIs, especially the sections on lifecycle processes and key challenges and risks. The more automation an environment contains, the more the gap shifts from conceptual to operational.

Key questions

Q: How should organisations govern human identities and NHIs together?

A: Treat them as related but different control domains. Human identities need authentication, session, and review controls, while NHIs need inventory, ownership, rotation, and revocation controls. A unified governance programme should use one policy framework and one evidence model, but separate operational rules for how access is granted, monitored, and removed.

Q: Why do NHIs create more governance risk than human accounts?

A: NHIs usually run non-interactively, can be copied across systems, and often persist longer than the workload they serve. That combination makes them harder to notice and easier to overprivilege. The risk is not only compromise, but also forgotten credentials, unclear ownership, and weak offboarding.

Q: What is the difference between human identity governance and NHI governance?

A: Human identity governance focuses on people, authentication, and periodic access review. NHI governance focuses on machine credentials, lifecycle control, and access scope. The difference is operational, not conceptual. Machine identities need continuous inventory and revocation discipline because they do not behave like employees.

Q: How can security teams reduce NHI blind spots in IAM programmes?

A: Start with discovery and ownership. Then connect each non-human identity to rotation, offboarding, and least-privilege rules that are enforced in the systems where the identity is used. Blind spots shrink when machine credentials are managed as first-class identities rather than as technical leftovers.

Technical breakdown

How human identity controls differ from NHI controls

Human identity controls assume a person can be challenged, interrupted, and reauthenticated through interactive workflows such as MFA and session expiry. NHIs behave differently because they are embedded in code, pipelines, and workloads, where access is usually non-interactive and often long lived. That means the control plane must track issuance, scope, rotation, and revocation rather than just login events. The security problem is not only authentication, but governance over credential lifetime and privilege boundaries. Practical implication: treat human IAM policies as a baseline, then build separate controls for machine identity lifecycle and access scope.

Practical implication: Separate human authentication policy from machine credential governance before extending controls across both identity types.

Why privileged access becomes harder once automation enters IAM

NHIs often inherit privileges from whatever system or workflow they support, which makes entitlement creep easier to miss than in human access reviews. Unlike users, machine identities can be replicated at scale, embedded in CI/CD, and reused across environments without obvious ownership. That creates a governance pattern where one credential can silently become a high-value dependency for multiple services. If rotation, offboarding, and ownership are not explicit, privilege review becomes incomplete by design. Practical implication: require named owners, documented purpose, and expiry logic for every service account and API key.

Practical implication: Make ownership and expiry mandatory for every NHI entitlement so privilege review does not rely on assumptions.

What unified identity governance has to prove

Unified identity governance is not just a policy statement. It must prove that access is attributable, bounded, and removable across both human and non-human identities. For humans, that proof usually comes from login, approval, and review records. For NHIs, it comes from inventory, secret location, rotation cadence, and revocation coverage. Where those records are missing, the organisation cannot demonstrate control over the full identity estate. Practical implication: build a single governance inventory that includes service accounts, tokens, certificates, and AI agents alongside people.

Practical implication: Use one identity inventory across people and machines so governance evidence covers the full access estate.

Breaches seen in the wild

• Cisco DevHub NHI breach — IntelBroker exploited exposed Cisco credentials, API tokens and keys in DevHub.
• Dropbox Sign breach — compromised Dropbox Sign service account exposed API keys and OAuth tokens.

Read our 52 NHI Breaches Analysis report for a comprehensive view of breaches impacting Non-Human Identities including AI Agents.

NHI Mgmt Group analysis

Human identity governance is now only half the problem. IAM programmes that still anchor their operating model on users are managing an incomplete attack surface. NHIs can authenticate, authorise, and execute with far less human friction than employees, so the identity plane expands faster than review processes can keep up. The result is a governance gap, not a tooling gap, and practitioners need controls that treat machine access as first-class identity.

Identity blast radius is the right way to think about machine access. A service account or API key does not fail like a user account, because it can be duplicated, embedded, or reused across pipelines. That means one weak credential can affect multiple systems and multiple teams at once. The practitioner conclusion is clear: scope, ownership, and expiry matter more than whether the identity originated in a human workflow.

Lifecycle control is more important than one-time authentication strength. Strong login controls do little for tokens that are never rotated, certificates that are not inventoried, or accounts that survive after their original purpose has ended. The market has spent years optimising user authentication, but NHI risk is concentrated in provisioning, reuse, and offboarding. Security teams should measure whether they can remove access as reliably as they grant it.

Unified governance must stop treating machine identities as exceptions. Every exception in IAM becomes a blind spot when it is repeated across code, infrastructure, and automation. The discipline now required is to fold NHIs into policy, review, and evidence generation as a standard operating assumption. Practitioners who do that will close the gap before automation turns it into a scale problem.

Oasis-style framing is useful only as a reminder of the broader pattern. The article's main lesson is not product-specific. It is that human identity controls establish the governance baseline, but modern enterprises need a broader identity model that includes service accounts, secrets, and machine credentials with equal rigor. Teams should adjust their operating model accordingly.

From our research:

• Only 5.7% of organisations have full visibility into their service accounts, according to the Ultimate Guide to NHIs.
• 71% of NHIs are not rotated within recommended time frames, increasing the risk of compromise over time.
• The visibility problem is downstream of lifecycle control, which is why Ultimate Guide to NHIs , Lifecycle Processes for Managing NHIs is the next operational reference.

What this signals

The immediate programme signal is that IAM teams can no longer assume their human access model will stretch naturally to automation. As NHIs proliferate, the practical question becomes whether the organisation can inventory, review, and revoke machine access with the same discipline it applies to employees. That is a governance maturity issue, not a technology preference.

Identity blast radius: the effective blast radius of a credential should be measured by how widely it can be copied, reused, and left behind. With 96% of organisations storing secrets outside secrets managers in vulnerable locations including code, config files, and CI/CD tools, per the Ultimate Guide to NHIs, the exposure surface is already distributed across delivery systems. Teams should respond by tightening ownership, inventory, and removal paths before adding more automation.

As more organisations formalise Zero Trust programmes, the identity boundary has to include NHIs and not just people. The next step for practitioners is to connect human IAM review cycles with machine lifecycle evidence, then validate that orphaned credentials can actually be found and removed in time. The control model needs to follow the workload, not the org chart.

For practitioners

• Inventory all machine identities Build a current register of service accounts, API keys, certificates, and automation credentials, then map each item to an owner, workload, and expiry date.
• Separate human and NHI policy baselines Do not reuse human access review assumptions for machine identities. Define distinct rules for rotation, revocation, authentication method, and approval path for each identity class.
• Tie every NHI to lifecycle controls Require provisioning records, rotation schedules, and offboarding triggers for all non-human identities so dormant credentials do not survive after the workflow changes.
• Measure governance coverage, not just authentication strength Track whether identities are discoverable, owned, rotated, and removable. A strong login control does not compensate for missing inventory or orphaned credentials.
• Use a single identity governance model Align access reviews, audit evidence, and least privilege decisions across employees and NHIs so the control framework does not fracture at the human machine boundary.

Key takeaways

• Human identity controls remain essential, but they no longer cover the full enterprise identity problem once automation and machine credentials are in scope.
• The main NHI risk is operational invisibility: weak ownership, incomplete inventory, and access that outlives the workflow it was meant to support.
• Practitioners should shift from user-centric IAM thinking to lifecycle-driven identity governance that includes discovery, rotation, offboarding, and evidence.

Key terms

• Human Identity: A human identity is a verified person in an IAM system, such as an employee, contractor, or administrator. It is tied to interactive authentication, attributable actions, and access policies that can be reviewed and revoked by the organisation.
• Non-Human Identity: A non-human identity is a credentialed digital actor such as a service account, API key, token, certificate, workload, or AI agent. These identities often operate without direct human interaction, which makes inventory, ownership, rotation, and offboarding central to governance.
• Identity Blast Radius: Identity blast radius is the amount of damage a single credential can cause if it is misused or compromised. For NHIs, the blast radius grows when credentials are reused, embedded in automation, or left active after the original task ends.

Deepen your knowledge

Human identity governance and NHI lifecycle control are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are extending IAM from users to service accounts and machine credentials, it is worth exploring.

This post draws on content published by Oasis Security: human identities and the connection to NHIs. Read the original.