Runtime telemetry

Expanded Definition

Runtime telemetry is the live record of what an agent, service, or automated workflow actually does while executing. In NHI and agentic AI environments, it goes beyond design-time review by capturing commands run, files accessed, tools invoked, network calls made, and credentials or secrets touched during execution.

This matters because agent behaviour can diverge from approved intent after deployment, especially when prompts, tool permissions, or downstream inputs change. Runtime telemetry therefore sits alongside policy enforcement, detection engineering, and audit logging. It is not the same as static pipeline scanning or source code review. Those controls help predict risk, while runtime telemetry proves how the system behaved in production. For governance context, NIST Cybersecurity Framework 2.0 treats continuous monitoring as part of resilient security operations, and the same logic applies to autonomous or semi-autonomous agents.

Definitions vary across vendors on whether telemetry must be fully real time, whether it includes only security-relevant events, or whether traces and audit logs are sufficient. In practice, the most useful definition is any execution evidence that supports investigation, containment, and policy validation. The most common misapplication is treating build-time logs as runtime telemetry, which occurs when teams assume pipeline output describes post-deployment agent behaviour.

Examples and Use Cases

Implementing runtime telemetry rigorously often introduces storage, privacy, and correlation overhead, requiring organisations to weigh stronger detection against greater operational cost.

• Monitoring an AI agent that opens tickets, queries a database, and sends notifications so analysts can verify whether each tool call matched its intended task.
• Capturing file and command activity in a CI/CD runner to detect when an automated job reads deployment secrets or alters infrastructure files unexpectedly.
• Tracing credential use across service accounts to confirm whether a token was used from the approved workload path or from an unexpected host.
• Correlating execution traces with access logs to identify when an agent accessed a sensitive repository after receiving an untrusted external input.
• Using telemetry from production agents to compare approved workflows against actual behaviour, a concern highlighted in the Ultimate Guide to NHIs, which also shows that only 5.7% of organisations have full visibility into their service accounts.

For implementation patterns, teams often align telemetry collection with NIST Cybersecurity Framework 2.0 logging and detection functions, then scope events by agent identity, tool access, and secret exposure.

Why It Matters in NHI Security

Runtime telemetry is essential because NHI failures often become visible only after an incident. An agent may inherit excessive privilege, touch secrets outside approved paths, or execute a tool chain that no reviewer anticipated. Without execution evidence, security teams cannot distinguish a harmless automation error from active misuse, prompt injection fallout, or credential abuse. The governance gap is especially sharp in environments where secrets are embedded in code, configs, or CI/CD tooling, a pattern documented in the Ultimate Guide to NHIs, which reports that 96% of organisations store secrets outside secrets managers and that 80% of identity breaches involved compromised non-human identities.

Telemetry also supports containment decisions: revoke the affected credential, suspend the agent, isolate the workflow, and reconstruct the blast radius. It is particularly valuable when NIST Cybersecurity Framework 2.0 style monitoring must prove whether an automated system stayed within policy after deployment. Organisations typically encounter the need for runtime telemetry only after an agent has exfiltrated data, modified infrastructure, or used a secret in an unexpected context, at which point the term becomes operationally unavoidable to address.

Related resources from NHI Mgmt Group

• When should organisations treat runtime telemetry as a primary control?
• What is the difference between runtime protection and NHI lifecycle management?
• What is the difference between code scanning and runtime identity monitoring?
• Why are runtime environments riskier than repository scans for NHI governance?