A read-only agent collects device and compliance data without changing the endpoint. It is designed to report settings such as encryption, password policy, and firewall status, while avoiding software installation beyond the agent itself or access to personal files. This model supports inventory and assurance use cases.
Expanded Definition
A read-only agent is an NHI pattern used for inventory, posture assessment, and compliance reporting when organisations need visibility without granting execution rights on the target endpoint. It may read configuration state, installed software metadata, security settings, and telemetry, but it should not alter policy, deploy code, or access personal user content.
What distinguishes this model is the deliberate limitation of authority. In practice, that means the agent’s credentials, scopes, and transport paths are constrained so its work aligns with observation rather than control. This is especially relevant in agentic environments where tool access can expand quickly, and where standards-based guidance such as the NIST AI Risk Management Framework and the OWASP Agentic AI Top 10 both emphasise bounded capability and oversight. Definitions vary across vendors on whether a read-only agent may create temporary local artefacts during scanning, so the safest interpretation is capability limited to observation with no endpoint mutation.
The most common misapplication is treating a read-only agent as harmless while still granting broad filesystem, registry, or admin-level access, which occurs when teams confuse “no intended writes” with truly minimal privilege.
Examples and Use Cases
Implementing a read-only agent rigorously often introduces a coverage-versus-access tradeoff, requiring organisations to weigh deeper visibility against tighter privilege boundaries and reduced operational flexibility.
- Endpoint compliance checks that report disk encryption, password policy, and firewall posture without installing management software that can change settings.
- Asset inventory workflows that enumerate installed applications and patch levels for governance reporting while avoiding access to personal files or browser data.
- Security assurance programs that compare device posture against baseline requirements and forward results into SIEM or GRC systems, similar to the visibility-first approach described in the Ultimate Guide to NHIs — 2025 Outlook and Predictions.
- Remote audit collection for regulated endpoints where a script or agent captures proof of compliance but cannot remediate or reboot systems.
- Read-only telemetry gathering for agentic operations that need state awareness, while remaining aligned with the control expectations in the OWASP NHI Top 10 and the NIST AI Risk Management Framework.
These use cases are strongest when the agent’s permissions are narrowly scoped, its outputs are logged, and its collection methods are documented so audit teams can distinguish observation from control.
Why It Matters in NHI Security
Read-only agents matter because “read-only” is often assumed to be low risk, yet the credential behind the agent is still an NHI that can be abused if its scope is too broad or its output channel is exposed. Even passive collection can create serious privacy, compliance, and lateral-movement risk when the agent can query sensitive endpoints, over-collect configuration data, or access shared management interfaces.
NHIMG research shows that 96% of organisations store secrets outside of secrets managers in vulnerable locations including code, config files, and CI/CD tools, which makes even non-mutating agents risky if their tokens are handled carelessly. In other words, the operational issue is not whether the agent writes to the endpoint, but whether its identity, secrets, and data paths are properly governed. The same logic appears in Analysis of Claude Code Security and the Moltbook AI agent keys breach, where access paths and exposed credentials became the real attack surface.
Organisations typically encounter the risk only after an audit failure, data exposure, or token compromise, at which point read-only agent governance 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 SP 800-63 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-02 | Read-only agents still depend on secret handling and least-privilege credential design. |
| OWASP Agentic AI Top 10 | A2 | Agent tool access must be bounded so observation does not become unintended action. |
| NIST CSF 2.0 | PR.AC-4 | Least privilege applies directly to read-only NHI endpoints and their access tokens. |
| NIST Zero Trust (SP 800-207) | SC-7 | Zero Trust requires explicit trust decisions for every read path, not just write actions. |
| NIST SP 800-63 | AAL2 | Credential assurance still matters even when the agent is limited to read-only use. |
Limit agent scopes, store credentials safely, and review whether the agent can truly write nowhere.
Related resources from NHI Mgmt Group
- What breaks when an AI triage agent can read public issues and reach repository secrets?
- What breaks when an AI agent can read and write identity infrastructure in one session?
- What breaks when an agent can read sensitive data and send email?
- What breaks when an AI agent has read, write, and execute access in a workspace?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on August 27, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
