Shared Non-Human Identity Attribution Gap

Shared Non-Human Identity (NHI) attribution gap occurs when multiple synthetic subjects, users, sessions, tools, or workflows act through the same service account, credential, token, connector identity, or application identity. The logs may show that the shared identity acted, but not which synthetic subject, operator prompt, session, or human principal caused the action.

This condition frustrates investigation because the evidence is too broad to support reliable attribution. The issue is not necessarily missing logs or deleted records. The issue is that the recorded actor is a shared identity that collapses multiple possible actors into one audit trail.

The primary risk is loss of accountability. A database update, message, tool call, file access, Application Programming Interface (API) request, or workflow action may be logged under a single shared NHI. Investigators may be unable to determine whether the action was caused by one agent instance, another agent instance, an automated workflow, a connected tool, or a human operator acting through the same credential.

A related risk is containment uncertainty. If the responsible synthetic subject cannot be identified, responders may need to disable the entire shared identity, interrupt multiple workflows, revoke broad connectors, or suspend legitimate operations. Conversely, containment may fail if the true actor continues to operate through the same shared identity after one suspected agent is disabled.

Investigators should review service account ownership, credential assignment, token issuance, connector identity records, non-human identity activity, prompt and response logs, session identifiers, agent identifiers, human-principal binding, OAuth grants, Privileged Access Management (PAM) records, and downstream audit logs. Particular attention should be given to one credential exhibiting multiple behavioral patterns, concurrent use of the same identity, actions with no resolvable originating principal, static long-lived credentials, and service accounts used by multiple synthetic subjects.

Investigative Relevance

Shared NHI attribution gap is relevant because synthetic subjects often act through machine identities rather than direct human accounts. When multiple agents or workflows share one NHI, even complete logs may be insufficient to identify the true source of an action.

This condition is especially relevant where synthetic subjects use shared service accounts, static API keys, marketplace connectors, Model Context Protocol (MCP) servers, automation tokens, application identities, or vendor-managed credentials that do not preserve the originating user, session, agent, and invocation context.