Non-user activity is machine-driven behavior between systems rather than actions performed by a human account. It includes API calls, service-to-service requests, token use, and automated workflows. Security teams track it to understand hidden access paths, unusual trust patterns, and abuse of non-human identities.
Expanded Definition
Non-user activity describes machine-driven interactions that occur between systems without a human sitting at a keyboard. In NHI security, that includes API calls, service-to-service requests, OAuth token exchange, certificate-based authentication, scheduled jobs, and agent-driven workflows. The concept matters because the security boundary is not the human operator but the workload identity, the permissions it carries, and the trust relationship it creates.
Definitions vary across vendors when teams try to fold every automated event into a single monitoring category. NHI Management Group treats the term more narrowly: non-user activity is observable execution attributable to a non-human identity, not merely background noise or generic telemetry. That distinction aligns with the access and audit expectations expressed in NIST SP 800-53 Rev 5 Security and Privacy Controls, where accountability, least privilege, and traceability still apply even when no person directly initiates the action.
The most common misapplication is treating all automated traffic as benign infrastructure chatter, which occurs when teams fail to map requests back to the identity, privilege set, and purpose behind the action.
Examples and Use Cases
Implementing non-user activity monitoring rigorously often introduces telemetry and correlation overhead, requiring organisations to weigh better detection fidelity against engineering complexity and storage cost.
- A CI/CD pipeline uses a short-lived token to deploy a container image to production, and the security team correlates each call to the workload identity rather than the pipeline runner alone.
- A microservice requests customer data from another service over mTLS, and analysts review the request path to confirm the service account only reaches approved endpoints. This operational pattern is consistent with the identity visibility concerns described in the Ultimate Guide to NHIs.
- An automated finance workflow renews certificates and rotates secrets on a schedule, and the organisation verifies that the job is running under an identity with narrow scope and auditable change control.
- An AI agent invokes internal tools to open tickets and retrieve configuration data, and defenders inspect the tool-use sequence for abnormal trust expansion, especially where the agent can chain permissions.
- A third-party integration submits API requests after a partner outage, and the team checks whether the requests align with the expected nonce, token lifetime, and source network conditions.
Because machine activity can be high volume, organisations often miss the difference between normal automation and credential abuse until they have a clear baseline. The broader risks associated with exposed service accounts and tokens are documented in the Ultimate Guide to NHIs, which is why use cases should be tied to identity, not just event source.
Why It Matters in NHI Security
Non-user activity is where hidden access paths become visible. A service account may have no interactive login, yet its API calls can reach sensitive systems, transfer data, or trigger downstream automation with far broader impact than a human session. When teams do not classify and review this activity, they miss abnormal trust chains, overprivileged tokens, and dormant integrations that still retain valid access.
NHIMG research shows that 97% of NHIs carry excessive privileges, increasing unauthorised access and broadening the attack surface, while only 5.7% of organisations have full visibility into their service accounts, according to the Ultimate Guide to NHIs. That gap makes non-user activity essential for governance, incident response, and Zero Trust enforcement. It also maps to access control and logging expectations in NIST SP 800-53 Rev 5 Security and Privacy Controls, where organisations are expected to know who or what executed an action and whether that action was authorised.
Organisations typically encounter the full significance of non-user activity only after a service account is abused or an API key is discovered in a breach, at which point the term becomes operationally unavoidable to address.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10 address the attack and risk surface, while NIST CSF 2.0, NIST Zero Trust (SP 800-207) and NIST SP 800-63 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-01 | Non-user activity exposes workload identities, access paths, and secret-driven abuse patterns. |
| NIST CSF 2.0 | PR.AC-4 | Least-privilege access must apply to service and machine identities behind non-user activity. |
| NIST Zero Trust (SP 800-207) | SP 800-207 | Zero Trust evaluates each machine request continuously rather than trusting the network path. |
| NIST SP 800-63 | Credential assurance concepts inform the strength of tokens and service authentication used here. |
Inventory and monitor all machine identities generating non-user activity, then tie each action to purpose and privilege.
Related resources from NHI Mgmt Group
- Why do non-human identities complicate incident response more than user accounts?
- How should security teams price identity platforms when non-human identities drive most activity?
- Why do non-person entities need the same lifecycle discipline as user identities?
- Who is accountable when a payment activity is non-compliant under activity-based regulation?
