Organizations no longer manage only human identities.
Identity now includes service accounts, API keys, tokens, scripts, workloads, application integrations, automation pipelines and AI agents. These identities can access information, execute processes and act across enterprise systems without direct human interaction.
For regulated organizations, this creates a clear governance challenge. Security teams need visibility. Compliance teams need evidence. IAM teams need ownership, lifecycle control, permissions, reviews and risk context.
The Nexis whitepaper on managing and controlling Non-Human Identities defines NHIs as digital identities used by AI agents, bots, modules, automated scripts and service accounts that independently access data, information and applications. It also states that NHIs already exceed human identities in companies by a factor of 25 to 100.
Discovery is the first step, but control begins with Governance.
A service account without an owner, a token with excessive privileges or an AI agent with access to critical data can create the same level of concern as a poorly governed human identity.
In some cases, the risk can be higher.
NHIs operate at speed. They can scale across systems and remain active after the person who created them changes role or leaves the organization. They can access sensitive data through integrations that were not designed for this level of autonomy.
Our partner Nexis makes this accountability issue explicit in its article on AI Agent Governance and why discovery is not enough. Every agent needs a human owner responsible for scope of permissions, operations and recertification. The same article defines Non-Human Identity Governance as the systematic control, monitoring and recertification of AI agents, service accounts and automated systems inside existing IAM and GRC structures.
For CISOs, CTOs, Security Directors and IAM leaders, NHI governance belongs in the same discipline already expected from human identity governance: ownership, lifecycle, least privilege, Segregation of Duties, risk-based access, recertification and audit evidence.
At Cloudcomputing, we see Non-Human Identity Governance as a natural extension of mature identity governance.
Organizations already need structured models for IAM, Identity Governance and Administration, Privileged Access Management, Zero Trust and compliance. The same principles now need to cover non-human identities:
These questions are familiar to mature IAM teams, but the identity type has changed.
A human identity usually has an HR record, a manager, a role, a contract and a clear offboarding process. A non-human identity may have none of these by default. This gap creates operational risk and audit difficulty.
Nexis brings the technology layer for identity visibility, intelligence and control.
Cloudcomputing brings the implementation experience, governance methodology and operational knowledge needed to make that technology work in complex environments.
Together, Cloudcomputing and Nexis help regulated organizations connect NHI visibility to decisions, ownership and evidence.
The Nexis Platform for regulated enterprises covers identity visibility, access analytics, role and access governance, Identity Security Posture Management, Agentic AI Governance, access reviews, SoD management, evidence collection, audit readiness and multi-compliance support.
This matters because many organizations already have IAM, IGA, PAM, access management and GRC components in place. The challenge is getting identity, role, entitlement and risk information into a form that supports decisions.
Nexis gives platform capabilities to make identities, permissions, roles and risks visible. Cloudcomputing helps clients define the operating model around that visibility: who owns decisions, how processes run, how controls are designed, how exceptions are handled and how evidence is produced.
Non-Human Identity Governance should cover more than AI agents.
A practical scope includes:
The NHI-specific entitlement model described by Nexis includes AI agents, bots, MCP servers and LLM integrations as identity types that must be documented with their authorization logic.
It also points to dynamic permissions for temporary tasks, a revised definition of special accounts for autonomous identities, and visibility into which NHIs exist, what rights they hold and what actions they have performed.
For Cloudcomputing clients, this creates a practical governance agenda:
Human identity governance depends on lifecycle control. The same logic now applies to AI agents, service accounts and other NHIs.
The agent lifecycle model in the Nexis whitepaper uses 3 phases: Joiner, when the agent is created and used productively; Mover, when the agent receives new or expanded tasks; and Leaver, when the agent is retired because it is obsolete, faulty or removed for security reasons.
Nexis also identifies orphaned agents as a common NHI risk path. When the employee who created or operated an agent leaves, the agent can remain active, permissioned and ownerless. Nexis recommends linking human and non-human lifecycle management so employee offboarding includes reassignment or deactivation of the NHIs they owned.
This is where Cloudcomputing’s role becomes operational.
We help organizations define how NHI ownership appears in IAM and IGA processes. We also help define what happens when the owner changes team, when an integration changes purpose, when an agent receives new capabilities, or when access is no longer justified.
Every NHI should have an owner, a purpose, a risk profile, a lifecycle state and a review path.
NHIs should not receive broad access because they are technical, and technical access still needs business justification.
In the AI agent context, this becomes even more important. Agents can operate contextually, use several tools, access data through multiple systems and execute tasks based on user prompts or predefined goals.
The access and authorization guidance in the Nexis whitepaper points to context-sensitive controls for NHIs. This includes fine-grained SoD controls, context-based access control using data classification and current risk, PAM monitoring, DLP and sensitivity label integration, and traceability for every access decision.
Nexis also describes Policy-Based Authorization for AI agents as a way to connect access rights to the agent’s task, data class and risk level. SoD rules can also be applied at policy level and recertified independently from individual agents.
For Cloudcomputing, this is where IAM, IGA, PAM and GRC work together. The governance model should define which permissions are acceptable, which combinations create SoD risk, which data classes require stricter controls, and which access paths need privileged monitoring.
A technical account should not bypass governance because it has no human login screen.
Regulated organizations need to prove control. That means NHI governance must produce evidence that is clear enough for security teams, compliance teams, internal audit and external auditors.
For each relevant NHI, organizations should be able to show:
The DORA and NIS2 traceability requirements discussed by Nexis connect NHI governance to access decisions: which permissions were used, in which context, and whether defined policies were followed.
Nexis also connects agent governance with IAM and GRC when external AI services access corporate data. It recommends risk classification, contractual basis, data protection review and periodic access review for those services.
Cloudcomputing helps clients design this evidence model from the start. That means defining what must be captured, where it should be stored, who reviews it, how exceptions are justified and how the evidence supports frameworks such as DORA, NIS2 and ISMS programmes.
A strong NHI governance programme depends on both technology and delivery discipline.
The unique capabilities of the Nexis Platform give regulated organizations visibility and platform controls across identities, roles, permissions and risks. These capabilities include identity grids, RBAC and ABAC governance, role modelling, data quality checks, dashboards, guided workflows, real-time preventive compliance checks, no-code lifecycle and approval processes, and IAM governance documentation.
Cloudcomputing helps organizations design and run the operating model around those capabilities. That includes:
The value of the Cloudcomputing + Nexis partnership sits in this combination.
Nexis brings the platform to identify, connect and govern identity data. Cloudcomputing brings the experience to define the controls, processes, ownership and evidence that make NHI governance work in regulated environments.
Security leaders already ask: who has access?
NHI governance adds a second question: what is acting on behalf of the organization?
That question needs precise answers.
What is the identity? What can it access? Which process does it support? Which data can it use? Who is responsible? Which risks does it create? Which controls apply? Which evidence proves that the organization is in control?
As AI agents, service accounts, API keys, tokens and automation continue to expand across enterprise systems, regulated organizations need a governance model that covers both human and non-human identities.
Cloudcomputing and Nexis help organizations take that step with clarity: visibility from Nexis, governance execution from Cloudcomputing, and a control model designed for security, compliance and auditability.
Innovate IT Ltd is a UK specialist with 20 years experience in identity, access management and cloud security. This acquisition strengthens our ability to support clients across the full identity lifecycle – and specifically across the Okta ecosystem.