WikiGlossaryNon-Human Entity
Security

Non-Human Entity

Definition

A non-human entity is any digital actor, system component, workload, automation, or machine-based identity that can access technology resources without representing a natural person. Common examples include service accounts, API keys, bots, certificates, cloud workloads, scripts, containers, integrations, and automated deployment pipelines. These entities often need access to applications, databases, repositories, cloud services, or administrative functions so business processes can run without manual intervention. Because non-human entities can hold credentials, permissions, and trusted access paths, they must be governed with the same care as human users. Strong management includes clear ownership, inventory, least-privilege permissions, credential rotation, monitoring, expiration rules, and periodic access reviews. In compliance programs, non-human entities matter because they can create hidden access risk, bypass normal onboarding and offboarding controls, and expand the attack surface if they are unmanaged. A mature security and GRC program treats them as accountable assets with documented purpose, approved access, and continuous oversight.

Real-World Examples

Service account for automation

A startup uses a service account to run nightly database backups, with permissions limited to backup tasks and monitored for unusual access.

API key for system integration

An SMB connects its billing platform to its CRM using an API key that is owned, rotated, and reviewed on a defined schedule.

Cloud workload identity

An enterprise grants a cloud workload access to storage resources so it can process files without embedding long-lived credentials in code.

Deployment pipeline bot

A software team uses a bot account to deploy releases, requiring restricted permissions, approval checks, and logging of all deployment actions.

A non-human entity in cybersecurity is a digital actor that can authenticate, access systems, or perform actions without being a person. Examples include service accounts, API keys, bots, certificates, workloads, scripts, containers, and automated integrations. These entities are important because they often carry sensitive permissions and can be exploited if their credentials or access rights are unmanaged.

A non-human entity is the system, workload, automation, or technical component that performs actions. A non-human identity is the credentialed identity or access record used by that entity, such as a service account, token, certificate, or API key. In practice, security teams often manage both together because the entity, its owner, its purpose, and its permissions all affect risk.

Examples of non-human entities include service accounts, cloud workload identities, CI/CD pipeline bots, API clients, robotic process automation bots, containers, serverless functions, scripts, certificates, SSH keys, database jobs, and third-party integrations. Any automated component that can access a system, call an API, move data, or execute commands may qualify.

Non-human entities are a security risk because they often have persistent credentials, broad permissions, unclear ownership, and limited visibility. They may not follow normal employee onboarding, access review, or offboarding processes. If an attacker compromises a token, service account, or automation credential, they may gain quiet, trusted access to systems and data.

Organizations should manage non-human entity access by maintaining an inventory, assigning a business and technical owner, documenting purpose, enforcing least privilege, rotating credentials, removing unused entities, and monitoring activity. Access should be approved before use and periodically reviewed to confirm that each entity still needs its permissions.

Compliance requirements for non-human entities usually come from broader access control, identity management, logging, change management, and risk management expectations. Organizations should be able to show that non-human entities are identified, authorized, limited to appropriate access, monitored, and reviewed. Evidence may include inventories, access review records, credential rotation logs, and exception approvals.

Service accounts are one of the most common forms of non-human entity access. They are typically used by applications, scripts, jobs, or integrations to perform automated tasks. Because service accounts may have powerful permissions and no direct human user, they should have named owners, documented use cases, restricted access, and strong monitoring.

CISOs and security leaders can inventory non-human entities by collecting identity, access, and configuration data from cloud platforms, identity providers, source code repositories, CI/CD tools, databases, and SaaS applications. The inventory should include entity name, type, owner, purpose, permissions, credential age, last activity, and connected systems. Regular reconciliation helps identify orphaned, overprivileged, or stale entities.

Key controls include centralized inventory, least-privilege access, strong credential storage, secret scanning, credential rotation, short-lived tokens where possible, approval workflows, logging, anomaly detection, segregation of duties, and periodic access reviews. Organizations should also remove unused entities and avoid shared credentials that make accountability unclear.

Review frequency should be based on risk, privilege level, business criticality, and applicable compliance standards. High-risk or privileged non-human entities should be reviewed more frequently than low-risk automation accounts. At minimum, organizations should review ownership, purpose, permissions, credential age, last activity, and whether the entity is still required.

VersionDateAuthorDescription
1.0.02026-05-07WatchDog GRC TeamInitial publication