Access governance for human and machine identities is breaking down

At a glance

What this is: This is a short access-management analysis on why human and machine identities need a unified governance model, with discovery, risk posture, and lifecycle management as the core controls.

Why it matters: It matters because IAM teams cannot close exposure by treating users and NHIs as separate governance tracks when the same access paths and ownership gaps now drive breach risk across both.

By the numbers:

• The global average cost of a data breach in 2024 reached $4.9 million, a 10% increase over last year and the highest total ever.

👉 Read P0 Security's analysis of access governance for human and machine identities

Context

Access governance is the discipline of controlling who or what can reach sensitive systems, data, and actions, and for how long. In cloud-native environments, that now includes human users, service accounts, tokens, keys, and other non-human identities that often have broader and less visible access than people.

P0 Security's framing reflects a real programme gap: many organisations still govern human identities and machine identities with different inventories, different policy models, and different owners. That separation creates blind spots in discovery, overprivilege, and offboarding, which is why unified governance is becoming a baseline requirement rather than a nice-to-have.

The strongest message in the article is that lifecycle and least privilege are no longer separate conversations. If NHIs are onboarded, used, rotated, and retired without the same rigor applied to human access, the organisation inherits persistent exposure even when the policy language looks consistent.

Key questions

Q: How should security teams govern digital trust across human and machine identities?

A: Security teams should treat digital trust as a shared governance model across human identities, service identities, workloads, and devices. That means one inventory for certificates and keys, clear ownership for renewal and revocation, and access policies that reflect where trust is actually created and consumed. The goal is alignment, not separate control planes.

Q: Why do NHIs complicate least-privilege access models?

A: NHIs complicate least-privilege models because their access is often embedded in code, pipelines, and integrations, then reused beyond the original task. Unlike human accounts, these identities can remain active without obvious user behaviour to signal drift. The result is standing access that looks legitimate on paper but exceeds the operational need in practice.

Q: What breaks when service accounts in Active Directory are not clearly owned?

A: Lifecycle governance breaks first, because no one can confidently attest, rotate, or decommission the account. Without a named owner, service accounts tend to persist after the original application changes, which increases privilege drift and slows remediation. In hybrid environments, that usually means the directory is still working while governance has quietly failed.

Q: How can teams tell whether access governance is actually working?

A: Look for short revocation times, low rates of stale entitlements, and repeatable access review outcomes across systems. If accounts remain active after role changes or offboarding, governance is not effective. Good measurement focuses on whether access is removed when it stops being justified.

Technical breakdown

Why unified access governance matters for human and machine identities

Unified access governance means the same governance logic is applied across people and non-human actors, even though their authentication methods and lifecycle patterns differ. The technical reason this matters is that cloud systems rarely distinguish between a person and a service account when evaluating downstream permissions, so a weak inventory or inconsistent policy model can expand access invisibly. In practice, the control plane has to reconcile identity type, owner, purpose, and entitlement scope before access decisions are defensible.

Practical implication: maintain one authoritative inventory and policy model that covers both human and machine identities.

Discovery, ownership, and lifecycle controls for NHIs

Discovery finds all identities in use, ownership assigns accountability, and lifecycle controls govern onboarding, rotation, and offboarding. For NHIs, this is harder than for humans because credentials can be embedded in pipelines, applications, and automation jobs, then forgotten long after the original use case changes. Without explicit ownership, service accounts and keys become orphaned assets with no clear approval path, no review cadence, and no reliable retirement trigger.

Practical implication: tie every non-human identity to a named owner and a lifecycle workflow.

Least privilege and runtime authorization across cloud-native access

Least privilege only works if entitlements are narrow enough to reflect actual task scope, and runtime authorization checks that scope at the point of use. In cloud-native environments, this is difficult because access can be indirect, inherited through roles, or reused by applications that change behaviour over time. If policy is static while workloads and integrations are dynamic, overprivilege accumulates and the access model stops matching reality.

Practical implication: review role scope and runtime access rules together, not as separate governance tasks.

NHI Mgmt Group analysis

Unified identity governance is now a structural requirement, not an optimisation. The article is right to treat humans and NHIs as part of the same access problem, because cloud-native systems expose both through the same control surfaces. When inventories, policy, and ownership diverge, attackers look for the least visible identity rather than the weakest authentication factor. The implication is that identity programmes need one governance model with actor-specific enforcement, not parallel exceptions.

Discovery without ownership is only inventory, not governance. A list of service accounts, keys, and users does not reduce risk unless each identity has a clear accountable owner and a lifecycle path. That matters because NHIs fail differently from humans: they do not forget, resign, or self-report drift, so orphaned access persists until an incident exposes it. Practitioners should treat missing ownership as a control failure, not an administrative inconvenience.

Least privilege breaks when cloud access is inherited, reused, or left static. The article's emphasis on least privilege is sound, but the real problem is that cloud entitlements often outlive the task they were granted for. That creates privilege creep across both people and machines, and it is especially dangerous where service accounts and application identities are reused across environments. The governance conclusion is simple: if runtime access cannot be explained at the point of use, it is already too broad.

Lifecycle management is the missing bridge between human IAM and NHI governance. Onboarding, rotation, and offboarding are often mature for employees and weak for machine identities, yet the security model depends on both being controlled. That asymmetry creates an identity blast radius problem where one unmanaged secret or stale service account can outlive many user controls. Practitioners need to align lifecycle discipline across identity types because the attack path does not care which category created the exposure.

Access governance should be measured by reducible exposure, not policy volume. More rules do not help if overprivileged identities remain active and unowned. The meaningful signal is whether entitlement scope, credential age, and offboarding completion are trending in the right direction across the whole identity estate. For identity teams, the question is not how many policies exist, but how much standing access still survives them.

From our research:

• The average organisation believes more than 1 in 5 of their non-human identities are insufficiently secured, according to The 2024 ESG Report: Managing Non-Human Identities.
• Two-thirds of enterprises have endured a successful cyberattack resulting from compromised non-human identities, with a quarter encountering multiple attacks.
• For deeper lifecycle context, see Ultimate Guide to NHIs , Lifecycle Processes for Managing NHIs for the onboarding, rotation, and offboarding controls that close this gap.

What this signals

Identity blast radius: the real programme risk is no longer just whether identities are authenticated, but how far access can spread once a single account, token, or key is over-scoped. Teams that still separate human IAM and NHI governance are likely to miss the compound risk hidden in shared cloud permissions and reused credentials. The right response is to measure how much standing access remains, not how many controls have been written.

P0 Security's framing aligns with the broader shift in identity governance toward lifecycle accountability across every actor type. That means access reviews need to lead to removal, rotation, or re-ownership, not just documentation. For practitioners, the practical test is whether orphaned identities and unused privileges are trending down across the environment.

If cloud-native access is your operating model, then governance has to follow the access path rather than the identity label. That is where internal resources like Top 10 NHI Issues and the Ultimate Guide to NHIs help teams translate policy into an enforceable programme.

For practitioners

• Build one identity inventory across people and machines Map every human account, service account, token, and key to a single inventory with an owner, purpose, and expiry condition. Reconcile that inventory against cloud roles, CI/CD pipelines, and application configs so hidden identities are not missed.
• Assign lifecycle ownership for every NHI Require a business or technical owner for each non-human identity, then attach onboarding, rotation, recertification, and offboarding steps to that owner. Orphaned identities should be treated as exceptions that must be remediated, not documented and deferred.
• Tighten least privilege at runtime Review whether cloud roles, service permissions, and application entitlements are broader than the actual task scope. Where possible, constrain access with runtime authorization checks so access decisions reflect current context rather than stale provisioning assumptions.
• Track credential age and inactive access Monitor keys, tokens, certificates, and service accounts for age, inactivity, and unused entitlements. Prioritise the identities that have no recent use but still retain access to sensitive systems or data.

Key takeaways

• Human and machine identities now need one governance model because cloud access paths no longer respect old category boundaries.
• Unowned NHIs, stale credentials, and excess privilege are the practical failure modes that make unified access governance urgent.
• The strongest control is not more policy language, but measurable reductions in standing access, credential age, and orphaned identities.

Key terms

• Non-Human Identity (NHI): A digital identity assigned to a non-human entity such as a software application, service account, API key, bot, machine, or AI agent that enables it to authenticate and interact with systems without direct human involvement. NHIs now outnumber human identities in most enterprises by 25 to 50 times.
• Access Governance: Access governance is the policy and workflow layer that manages how access is requested, approved, certified, and revoked. In SaaS environments it helps standardise control across many applications, reducing inconsistency between teams. It is most effective when it covers both human accounts and non-human identities.
• Least Privilege: A security principle requiring that every identity — human or non-human — is granted only the minimum permissions necessary to perform its function. Least privilege is the single most effective control for reducing NHI blast radius.
• NHI Lifecycle Management: The end-to-end governance of a non-human identity from creation and onboarding through active management, monitoring, credential rotation, and secure decommissioning.

What's in the full article

P0 Security's full article covers the operational detail this post intentionally leaves for the source:

• Specific examples of how to inventory humans and NHIs in one access governance model.
• Practical workflows for onboarding, rotation, and offboarding of non-human identities.
• The article's own access governance framing for service owners and identity owners.
• How the vendor positions least privilege across users, machines, and agents.

👉 P0 Security's full post covers the governance workflow, ownership model, and least-privilege framing in more operational detail.

Deepen your knowledge

NHI governance, agentic AI identity, and machine identity security are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are responsible for identity security strategy or NHI governance in your organisation, it is worth exploring.