Activity Data

Expanded Definition

Activity data is the operational evidence trail for an identity. In NHI and IAM contexts, it captures what an account or credential actually did: logins, token use, API calls, privilege changes, certificate events, and periods of inactivity. That makes it different from entitlement data, which only shows what an identity is allowed to do. For NHI governance, activity data is the basis for determining whether a service account is still in use, whether an API key has been abandoned, and whether a credential is behaving in a way that matches its stated purpose.

Definitions vary across vendors on how much telemetry is needed before activity data is considered reliable. Some teams treat a narrow log sample as sufficient, while others require correlated events from IAM, CI/CD, cloud, and application layers. NHI Management Group treats activity data as useful only when it is timely enough to support access review, rotation, and offboarding decisions. For a broader governance frame, the NIST Cybersecurity Framework 2.0 reinforces the need to monitor identities and respond to anomalous activity. The most common misapplication is assuming an account is safe because its entitlements look correct, which occurs when teams ignore actual usage and miss dormant or misused credentials.

Examples and Use Cases

Implementing activity data rigorously often introduces telemetry and retention overhead, requiring organisations to weigh better identity assurance against the cost of collecting, normalising, and reviewing more logs.

• A service account shows no successful authentication for 90 days, supporting a dormant-identity review before rotation or decommissioning.
• An API key continues to call production endpoints from an unexpected region, prompting investigation into possible key sharing or compromise.
• A build pipeline credential is active only during scheduled releases, confirming a legitimate pattern and reducing unnecessary access noise.
• A certificate is still valid but has no corresponding usage events, indicating that entitlement status and actual activity are out of sync.
• Continuous monitoring detects a sudden spike in token refreshes, which can reveal automation errors or abuse of a non-human identity.

These patterns are easier to interpret when paired with lifecycle evidence and benchmarked against NHI governance guidance such as the Ultimate Guide to NHIs — Key Research and Survey Results. They also align with identity assurance and monitoring concepts described in the NIST Cybersecurity Framework 2.0. Activity data is most useful when it is tied to a specific owner, workload, and business purpose rather than treated as generic log volume.

Why It Matters in NHI Security

Activity data is one of the fastest ways to distinguish an active, managed NHI from a forgotten credential that still has standing access. Without it, organisations cannot reliably prove whether an identity is dormant, overused, or being exercised outside its intended boundaries. That creates direct risk for secrets sprawl, delayed revocation, and poor incident triage. NHI Management Group notes that only 5.7% of organisations have full visibility into their service accounts, which makes activity data a foundational control input rather than a reporting luxury; the same body of research also shows that 80% of identity breaches involved compromised non-human identities such as service accounts and API keys, highlighting how often misuse is discovered too late.

For governance, activity data supports anomaly detection, periodic access review, and evidence-based offboarding. For operations, it helps separate legitimate automation from stale credentials that should no longer exist. It also strengthens zero trust by validating usage patterns instead of assuming that issuance equals legitimacy. The Ultimate Guide to NHIs — Key Research and Survey Results is especially relevant here because it frames the visibility gap that activity data is meant to close. Organisations typically encounter the operational need for activity data only after an API key is abused or a service account is found lingering in production, at which point the term becomes operationally unavoidable to address.

Related resources from NHI Mgmt Group

• How can teams use AI-assisted activity data without overcomplicating governance?
• Why is it important to integrate identity and data governance?
• How should security teams monitor AI agent activity without disrupting developers?
• How should security teams unify identity across cloud and data center environments?