Endpoint detection and response data that can be queried or analysed without executing code on the device. Security teams use it to inspect process behaviour, authentication events, and file activity while reducing operational risk. In this context, read-only access supports safer discovery of suspicious AI agent activity.
Expanded Definition
Read-Only EDR telemetry is endpoint detection and response visibility that allows analysts and automation to query event data without granting execution rights on the endpoint. In NHI and agentic AI environments, that distinction matters because observation can be separated from control, reducing the chance that a security workflow accidentally alters system state.
Definitions vary across vendors, but the core idea is consistent: telemetry can be searched, filtered, and correlated while preventing code from being run on the device. That makes it well suited to investigations involving service accounts, API clients, and AI agents that may leave behind process trees, authentication events, network connections, and file activity. For a broader NHI governance context, the Ultimate Guide to NHIs is a useful reference for visibility and lifecycle controls, while NIST Cybersecurity Framework 2.0 reinforces the need to protect and monitor assets without expanding operational risk.
The most common misapplication is treating “read-only” as equivalent to “low risk,” which occurs when teams expose telemetry broadly without limiting query scope, retention, or analyst access.
Examples and Use Cases
Implementing Read-Only EDR Telemetry rigorously often introduces a tradeoff between investigative speed and control boundaries, requiring organisations to balance fast detection against strict containment of privileged actions.
- A SOC analyst queries endpoint process lineage for an AI agent that launched a suspicious child process, then validates whether the agent accessed local secrets without ever executing a response action.
- A detection engineer correlates authentication telemetry with service account activity to distinguish legitimate workload behaviour from token replay or lateral movement.
- An incident responder reviews file writes and command-line history on a production host to determine whether a compromised NHI touched configuration files containing credentials, using the visibility patterns described in the Ultimate Guide to NHIs.
- A platform team uses read-only access to inspect endpoint events from a build agent after a pipeline anomaly, comparing those events against the monitoring expectations in NIST Cybersecurity Framework 2.0.
- A governance team grants temporary telemetry access to a third-party assessor so they can verify endpoint behaviour without enabling remediation or process termination.
Why It Matters in NHI Security
Read-only visibility is especially important because NHIs often operate at machine speed and accumulate privileges faster than teams can review them. NHI Mgmt Group reports that 97% of NHIs carry excessive privileges, and only 5.7% of organisations have full visibility into their service accounts, which means endpoint telemetry can become one of the few practical ways to see what those identities are actually doing.
That matters when an AI agent, service account, or API key begins behaving unexpectedly. Read-only EDR Telemetry helps confirm whether an identity is spawning unusual processes, reaching sensitive files, or interacting with other workloads before responders decide whether to isolate, rotate, or revoke access. It also supports safer investigation in Zero Trust environments, where the goal is to inspect behaviour without assuming the endpoint can be trusted. The visibility model aligns with the Ultimate Guide to NHIs and the control philosophy in NIST Cybersecurity Framework 2.0.
Organisations typically encounter the need for read-only telemetry only after an NHI has already started moving laterally or touching sensitive systems, at which point safe inspection 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 and OWASP Agentic AI Top 10 address the attack and risk surface, while NIST CSF 2.0, NIST Zero Trust (SP 800-207) and NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-01 | Visibility and monitoring of NHIs are central to safe telemetry use. |
| NIST CSF 2.0 | DE.CM-1 | Continuous monitoring depends on collecting endpoint events without disrupting systems. |
| NIST Zero Trust (SP 800-207) | PL-2 | Zero Trust requires inspection with minimal trust and least-privileged access. |
| OWASP Agentic AI Top 10 | A10 | Agentic systems need monitoring to detect unsafe tool use and abnormal actions. |
| NIST AI RMF | AI risk management includes observability and incident response for deployed AI systems. |
Grant telemetry-only access so analysts can verify behavior without endpoint execution rights.
Related resources from NHI Mgmt Group
- What should teams do when endpoint telemetry suggests EDR evasion is underway?
- How should security teams evaluate browser-level controls for identity attacks that bypass EDR and endpoint telemetry?
- When should organisations treat runtime telemetry as a primary control?
- Should organisations require security telemetry before adopting SaaS tools?
