A complete trace of what started an agent, what it retrieved, which tools it used, and what it did next. This is the difference between seeing a prompt and understanding behaviour, and it is essential for audit, investigation, and control validation.
Expanded Definition
Activity-path visibility goes beyond knowing that an agent, service account, or automation ran. It captures the causal chain of the run: what initiated it, what context it inherited, what data it retrieved, which tools or APIs it invoked, and what action followed. In NHI and agentic AI environments, that path is the evidence needed to distinguish normal execution from unauthorized behaviour, prompt injection, or silent privilege misuse.
Definitions vary across vendors because some products use the term for logging, others for traceability, and others for full execution lineage. At NHIMG, the practical meaning is narrower and more operational: the path must be reconstructable across identity, context, tool use, and outcome. That makes it complementary to control frameworks such as the NIST Cybersecurity Framework 2.0, but more specific to agent and NHI investigation needs.
It is often confused with simple audit logs, yet audit logs can show isolated events without showing sequence, dependency, or intent. The most common misapplication is treating raw API logs as activity-path visibility, which occurs when organisations cannot tie tool calls back to the initiating identity, retrieved secrets, or downstream side effects.
Examples and Use Cases
Implementing activity-path visibility rigorously often introduces storage and correlation overhead, requiring organisations to weigh forensic fidelity against logging cost and operational complexity.
- An AI agent opens a ticket, queries an internal knowledge base, then calls a deployment tool. Activity-path visibility shows whether the final change was consistent with the original request or steered by injected instructions.
- A service account retrieves a token from a vault and uses it against multiple APIs. The trace helps teams identify whether the token was used within its intended workflow or replayed elsewhere. This pairs well with guidance in the NHI Lifecycle Management Guide.
- A privileged workflow begins from a CI/CD runner, escalates to cloud admin actions, and then writes configuration back to source control. The activity path exposes where the sequence departed from approved automation design.
- During investigation, analysts reconstruct whether an identity compromise was limited to retrieval activity or whether the compromised actor executed destructive actions after access. The Top 10 NHI Issues highlights why this distinction matters.
For agent governance, this visibility supports control validation by showing not just that a policy existed, but that it actually constrained runtime behaviour. It also aligns with the broader monitoring expectations reflected in the NIST Cybersecurity Framework 2.0.
Why It Matters in NHI Security
Without activity-path visibility, organisations can detect that an NHI or agent was active but still miss the sequence that made the action dangerous. That gap weakens incident response, complicates root-cause analysis, and makes it hard to prove whether secrets were accessed, propagated, or used outside approved context. It is especially important where identities outnumber human operators and where runtime decisions are delegated to software.
NHIMG research shows that 80% of identity breaches involved compromised non-human identities such as service accounts and API keys, which means the attack path often begins long before a visible impact is detected. The absence of path-level evidence also makes it harder to validate least privilege, detect tool misuse, and show whether an agent followed policy or simply executed successfully. The Ultimate Guide to NHIs shows how visibility gaps compound other NHI weaknesses.
Organisations typically encounter the need for activity-path visibility only after an agent has already made an unsafe call or an incident responder cannot explain how the compromise progressed, at which point the missing trail 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 Agentic AI Top 10 and OWASP Non-Human Identity Top 10 address the attack and risk surface, while NIST CSF 2.0 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Agentic AI Top 10 | A01 | Agentic systems need traceable execution paths to detect misuse and unsafe tool chaining. |
| OWASP Non-Human Identity Top 10 | NHI-05 | Visibility into NHI behavior supports monitoring and anomaly detection across service identities. |
| NIST CSF 2.0 | DE.CM | Continuous monitoring depends on evidence that connects events into a meaningful activity sequence. |
Log agent starts, context, tool calls, and outcomes so each action can be reconstructed end to end.
