Non-human identity management is now a core security discipline

At a glance

What this is: This is an NHI governance analysis arguing that access visibility, monitoring, and lifecycle control are now core requirements for protecting automated identities.

Why it matters: It matters because service accounts, API keys, and other machine credentials can expand attack surface faster than human IAM processes can track, leaving governance gaps across cloud and hybrid environments.

By the numbers:

• NHIs outnumber human identities by 25x to 50x in modern enterprises.
• 97% of NHIs carry excessive privileges, increasing unauthorised access and broadening the attack surface.

👉 Read Veza's analysis of non-human identity management and access governance

Context

Non-human identity management is the discipline of governing the credentials and permissions used by software, services, devices, and automated processes. In practice, that includes service accounts, API keys, service principals, tokens, certificates, and similar machine credentials that operate across cloud, multi-cloud, and hybrid environments. Primary keyword: non-human identity management.

The governance gap is not that these identities exist. It is that many organisations cannot reliably see them, understand what they can access, or revoke them fast enough when roles change or compromise occurs. That creates persistent access risk across cloud operations, DevOps pipelines, and emerging GenAI workflows.

The article’s central point is that NHI management is no longer a back-office hygiene task. It sits directly between operational continuity and breach containment, especially when automated identities accumulate broad permissions and remain active long after their original purpose has changed.

Key questions

Q: How should security teams govern non-human identities in cloud environments?

A: Start with complete discovery, because you cannot govern what you cannot see. Then assign ownership, remove unnecessary privilege, enforce short-lived credentials where possible, and require monitoring and revocation processes for every service account, token, and API key. Cloud governance works only when identity lifecycle controls are applied to automation with the same rigor as user access.

Q: What problem does ownership attribution solve for service accounts and API keys?

A: It closes the gap between exposure detection and accountable remediation. Many organisations can find the secret, but not the human who introduced it, maintains it, or can safely replace it. Ownership attribution gives security teams a practical way to assign action without relying on informal knowledge that disappears during staff changes.

Q: What breaks when organisations cannot see all of their NHIs?

A: Access reviews become incomplete, revocation becomes delayed, and ownership becomes unclear. Without visibility, security teams cannot distinguish active service identities from abandoned ones or determine whether a key still belongs in production. The practical result is unmanaged access that can persist unnoticed across cloud and application layers.

Q: Who should own NHI lifecycle governance in an enterprise?

A: Ownership should be shared, but explicit. Security should define risk and audit requirements, IAM should govern issuance and policy, platform teams should implement and operate controls, and application teams should surface misuse. The important part is that every stage of the NHI lifecycle has a named accountable owner rather than an implied one.

Technical breakdown

Why NHI visibility fails in distributed environments

NHI visibility breaks down when identities are created in one system, used in another, and logged in a third. Service accounts, keys, and tokens are often embedded in code, pipelines, vaults, and cloud services without a single authoritative inventory. That leaves security teams unable to answer a basic question: what exists, where it is used, and whether it still needs to exist. The problem is architectural, not just procedural. Practical implication: build an authoritative inventory that maps every NHI to its owner, system, and access scope.

Practical implication: build an authoritative inventory that maps every NHI to its owner, system, and access scope.

Access intelligence is about entitlement context, not raw discovery

Discovery tells you that an NHI exists. Access intelligence tells you what it can reach, which paths it can take, and where permissions exceed the intended business function. That matters because machine identities frequently accumulate standing access across services, storage, and management planes. Without context, access reviews become lists of names instead of decisions about risk. The useful unit is not the credential alone but the entitlement graph around it. Practical implication: pair discovery with entitlement mapping so reviewers can see effective access, not just account presence.

Practical implication: pair discovery with entitlement mapping so reviewers can see effective access, not just account presence.

Access governance must include lifecycle offboarding for machine identities

Lifecycle governance for NHIs is often weaker than for humans because service accounts and keys are treated as static infrastructure artifacts. In reality, their purpose changes, their owners change, and their risk changes. If offboarding is not built into the lifecycle, stale credentials survive past the system, vendor, or workload they were created for. That creates dormant access that still functions when an attacker finds it. Practical implication: tie NHI provisioning, rotation, and deprovisioning to the same governance workflow used for other critical identities.

Practical implication: tie NHI provisioning, rotation, and deprovisioning to the same governance workflow used for other critical identities.

Threat narrative

Attacker objective: The attacker aims to turn a single compromised machine credential into broad operational access that reaches sensitive systems and survives normal human detection cycles.

1. Entry occurs when exposed or poorly governed machine credentials, such as keys or tokens, are discovered in code, infrastructure, or external systems.
2. Escalation follows when those credentials retain broad permissions and allow access to additional services, data, or administrative paths beyond the original workload.
3. Impact is achieved when the attacker uses that machine access to move into sensitive environments, amplify an incident, or sustain persistence through unmanaged identities.

Breaches seen in the wild

• Sisense breach — unauthorized GitLab access led to exfiltration of access tokens, API keys and certificates.
• IOS app secrets leakage report — iOS apps leaking hardcoded secrets and credentials endangering user privacy.

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

NHI Mgmt Group analysis

NHI visibility is now a governance prerequisite, not an audit luxury. The article correctly frames machine identities as operationally central, but the deeper issue is that most programmes still lack a defensible inventory of what exists and who owns it. When NHIs multiply across cloud, DevOps, and GenAI, visibility becomes the prerequisite for every other control. Practitioners should treat incomplete discovery as a control failure, not a reporting gap.

Identity blast radius: machine credentials become dangerous when broad entitlements are treated as normal infrastructure state. The article’s emphasis on access intelligence points to the real risk: effective access is often much broader than the workload’s job function requires. That is not a tooling inconvenience, it is a governance assumption failure. Access reviews must be built around effective reach, not account existence, if blast radius is to be reduced.

Lifecycle offboarding is the weakest link in NHI governance. The article highlights governance and access lifecycle, but many organisations still create machine identities without a reliable end-of-life path. That leaves credentials active after the workload, team, or third-party relationship has changed. Practitioners should assume that any NHI without a documented offboarding path will eventually become an unmanaged access path.

Automation has made NHI risk more persistent, not less visible. Cloud, RPA, and GenAI all increase the number of machine identities that can touch sensitive systems, but scale alone is not the core problem. The real challenge is that access decisions are now distributed across pipelines, services, and runtime events. Identity governance must therefore move from periodic review to continuous control correlation, or the environment will always be one credential event behind.

NHIs are now a cross-domain identity problem, not a single-team problem. Security, platform engineering, IAM, and application owners all influence how machine identities are created and used, but no single team sees the full picture. That makes NHI governance a coordination discipline as much as a technical one. The practical conclusion is clear: ownership, visibility, and revocation authority must be explicit before trust can be assumed.

From our research:

• 79% of organisations have experienced secrets leaks, with 77% of these incidents resulting in tangible damage, according to the Ultimate Guide to NHIs.
• Only 20% have formal processes for offboarding and revoking API keys, which explains why stale machine access so often survives long after the original use case ends.
• Read the Ultimate Guide to NHIs , Lifecycle Processes for Managing NHIs for the governance model that turns discovery into controlled lifecycle management.

What this signals

Identity blast radius: as machine identities proliferate across cloud and GenAI workflows, the question shifts from whether you can find them to whether you can limit what they can reach. The operating model that matters is ownership plus revocation authority, because discovery without lifecycle control still leaves dormant access in place.

With 90% of IT leaders saying properly managing NHIs is essential for a successful zero-trust implementation, the market signal is clear: zero trust cannot be credible if machine identities remain outside the governance model. Practitioners should expect NHI controls to move closer to core IAM, PAM, and cloud governance workflows.

For teams building maturity plans, the next step is not another inventory exercise. It is correlating NHI discovery, entitlement mapping, and offboarding into one control loop so that exposure is identified, assessed, and removed in the same operational cycle.

For practitioners

• Map every machine identity to a named owner Create a current register of service accounts, API keys, tokens, certificates, and service principals, then assign operational ownership and a business purpose to each one. Use the 52 NHI Breaches Analysis to pressure-test whether the identities in your estate are actually governed or merely discovered.
• Review effective access instead of raw account lists Analyse what each NHI can actually reach across cloud, CI/CD, storage, and admin planes. Compare the entitlement graph against the workload’s real function, then remove permissions that are not needed for that function.
• Build offboarding into machine identity lifecycle Require provisioning, rotation, renewal, and revocation steps for every NHI, with a documented trigger for removal when the system or vendor relationship ends. Use the Ultimate Guide to NHIs as the baseline reference for lifecycle controls and governance expectations.
• Correlate NHI activity with monitoring and alerting Watch for privilege drift, unusual lateral movement, and credential use from unexpected runtimes or geographies. Tie those signals to the owning workload so that alerts can be investigated and revoked before the identity is reused for broader access.

Key takeaways

• Non-human identity management is the governance layer that makes automated access accountable across cloud, DevOps, and GenAI environments.
• Without visibility, entitlement context, and lifecycle offboarding, machine credentials become persistent access paths rather than controlled operational assets.
• IAM teams should treat NHI ownership and revocation as core programme controls, not adjacent hygiene tasks.

Key terms

• 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.
• Access intelligence: Access intelligence is a runtime authorization approach that combines identity, context, and policy before granting or continuing access. It reduces the value of stolen credentials by requiring the request to still look legitimate at the moment of use, not just at the moment of approval.
• Access Lifecycle Management: Access lifecycle management is the discipline of creating, changing, reviewing, and removing access over time. For NHI security, it is essential because machine credentials often lack natural offboarding points, so rotation and revocation must be engineered into the operating model, not handled ad hoc.
• Privilege Drift: Privilege drift is the gradual gap between the permissions an identity was meant to have and the permissions it actually retains. In AI agent environments, drift grows quickly because roles are reused, tasks change, and lifecycle reviews often lag behind deployment velocity.

What's in the full article

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

• Concrete examples of access visibility and access intelligence workflows for NHI estates
• How continuous monitoring surfaces privilege drift, lateral movement, and anomalous NHI behaviour
• The platform framing behind access governance and lifecycle controls for automated identities

👉 Veza's full article covers the access visibility, monitoring, and lifecycle model in more detail.

Deepen your knowledge

NHI governance, agentic AI identity, and machine identity lifecycle 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.