OpenTelemetry (OTel) can strengthen security by making traces, metrics and logs consistent across services and by giving teams a central place to filter and protect that data. It is not a security product or a substitute for identity, endpoint or SIEM controls. Because telemetry can contain secrets and personal information, the Collector and the systems receiving its data must be secured like any other sensitive infrastructure.
What OpenTelemetry does—and why security teams use it
OpenTelemetry is a vendor-neutral, open-source framework for instrumenting services, generating telemetry, collecting it and exporting it to observability systems. Its signals include traces, metrics and logs. Standard conventions make it easier to correlate activity across services and languages, investigate failures and spot behavior that may indicate an attack.
The Collector can receive telemetry from services and forward it to one or more backends. It can also handle batching, retries, encryption and sensitive-data filtering. That shared point can help teams apply consistent practices instead of relying on each application team to build its own export pipeline. It also concentrates data and network exposure, so the Collector itself becomes part of the security boundary.
Adoption figures are snapshots, not security guarantees: OpenTelemetry documentation cited more than 90 supported observability vendors in 2025. CNCF announced the project’s graduation to Graduated maturity on May 11, 2026, reporting more than 12,000 contributors from over 2,800 companies. Those figures indicate a broad ecosystem; they do not certify a particular configuration or deployment.
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Is OpenTelemetry secure by default?
There is no single yes-or-no answer for every OTel deployment. The framework can support secure collection and transport, but its security depends on how applications are instrumented, which Collector components are enabled, how endpoints are exposed, and how the receiving backend is controlled. A working default endpoint is not evidence that it is safe to expose publicly.
Telemetry may contain personally identifiable information, authentication credentials, session tokens, financial or health information, and data about user behavior. OpenTelemetry’s guidance puts responsibility on implementers to review what their instrumentation emits and to meet applicable privacy and consent requirements. Treat traces, logs and metrics as potentially sensitive until you have inventoried their contents and classified them.
OTel improves visibility into systems; it does not authenticate users to your applications, protect endpoints, or replace a SIEM. Use it as an observability layer that supports those controls, not as a substitute for them.
Direct export or a Collector?
OpenTelemetry recommends a Collector for many production scenarios because it can centralize retries, batching, encryption and filtering. Direct SDK-to-backend export can be adequate in development or a small environment. Choose based on where policy needs to be enforced and what the team can operate securely.
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| Decision factor | Direct SDK-to-backend export | Export through a Collector |
|---|---|---|
| Where redaction happens | Arrange filtering in the application or at the receiving backend; there is no shared Collector processor stage. | Apply consistent filtering in the Collector before export, while still checking whether sensitive data is emitted or stored elsewhere. |
| TLS and authentication | Configure and verify protection for each application-to-backend connection. | Can centralize policy at the Collector, but secure and authenticate both service-to-Collector and Collector-to-backend connections. |
| Compromise impact | Assess the permissions and data available to each instrumented service and its export credentials. | Assess the Collector’s access to received telemetry, credentials, network destinations and local resources; centralization can increase its importance as a target. |
| Operations and scaling | Fewer pipeline components, but each application may require its own export configuration. | Adds a component to deploy and maintain; supports shared batching, retries and policy across services. |
| Data residency and retention | Verify the destination’s region, retention and access controls. | Verify those backend controls and any intermediate storage or routing in the Collector pipeline. |
| Consistency across teams | Application teams must apply compatible policies independently. | A shared Collector policy can make filtering and export behavior more consistent across languages and services. |
How to secure an OpenTelemetry deployment
1. Inventory and minimize the data
List the signals and attributes emitted by each instrumentation library, then set a data-classification policy for traces, logs and metrics before production rollout. Collect only what serves an observability purpose, avoid personal information where possible, and review emitted attributes regularly. Make sensitive capture an explicit decision rather than assuming instrumentation output is harmless.
2. Redact at the earliest practical point
Use Collector attribute, filter, redaction and transform processors to delete, replace or transform sensitive fields before export. OpenTelemetry’s examples include hashing user.email and removing user.full_name, or replacing user.id with a hash. Hashing is not automatically anonymization: predictable identifiers may be recovered by guessing candidate values. For IP addresses or dates, truncation or aggregation may reduce exposure more safely than retaining precise values.
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3. Treat URLs and headers as data sources
Review code and instrumentation settings for URLs, query strings, cookies, authorization headers and custom business headers. Configure request and response header capture explicitly; capturing every header can expose credentials. HTTP semantic conventions identify sensitive query values such as X-Amz-Signature, X-Amz-Credential, X-Amz-Security-Token, sig and X-Goog-Signature for scrubbing, typically by replacing the value with REDACTED.
4. Protect connections and keep listeners private
Use TLS and authentication on every receiver and exporter connection, including internal hops between services and a Collector. Bind Collector listeners to localhost, a pod IP or another authorized interface rather than an unrestricted address such as 0.0.0.0. Keep health and telemetry endpoints off public interfaces and restrict network access to approved clients.
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5. Limit privileges and enabled components
OpenTelemetry Collector security guidance says it should not be run as a root or admin user. Run the Collector and agents with a custom, non-root identity, narrowly scoped RBAC and filesystem permissions. If a particular component genuinely requires extra privilege, document that need and constrain it. Remove unused receivers and exporters or build a custom Collector distribution containing only the components you need.
6. Set resource safeguards
Telemetry endpoints can be abused to consume resources. Configure memory limits, queue and batch safeguards, and rate protections appropriate to your deployment so a surge does not exhaust the Collector or downstream systems. The project’s incident-response guidance notes that insecure defaults are not considered secure against availability attacks.
7. Constrain remote configuration
For agents managed through OpAMP, follow a zero-trust model: do not automatically trust remote configuration or packages. Validate incoming configuration against local restrictions, prefer allow lists, keep remote configuration opt-in where feasible, and run agents with minimum privilege. A compromised management server should not be able to make an agent read arbitrary files or run unrestricted commands.
8. Secure the destination and maintain the pipeline
Review backend access controls, retention, tenancy and cross-region transfers as part of the telemetry design. Track OpenTelemetry security advisories and use a supported minor version. Maintain an incident-response path for suspected telemetry exposure, endpoint compromise or unsafe configuration.
What the 2024 security audit does—and does not—show
OpenTelemetry’s July 22, 2024 audit announcement said the Collector and Go, Java, C# and Python SDKs were reviewed. The project reported one CVE record, CVE-2024-36129, remediated before publication, along with five hardening recommendations. The auditor 7ASecurity’s July 21, 2024 summary described seven findings with security impact: two high-severity CVEs fixed and five hardening recommendations. These are different descriptions and counts; neither should be flattened into a claim that all OTel deployments are secure. An audit is evidence of review and remediation, not a guarantee about later releases or your configuration.
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