TL;DR: Telemetry routing can be forwarded between a Universal Forwarder, a collector, a Heavy Forwarder, and Splunk Cloud, while also duplicating the same data to Google Cloud Logging, according to Bindplane. The operational question is not whether data can move, but which ingestion paths, tokens, and endpoints are allowed to handle it.
NHIMG editorial — based on content published by Bindplane: a walkthrough of routing Splunk telemetry through a Bindplane collector to multiple destinations
By the numbers:
- Only 13% of organisations feel extremely prepared for the reality of agentic AI despite the majority racing toward autonomous adoption.
- 69% of security leaders agree identity management must fundamentally shift to address agentic AI systems.
Questions worth separating out
Q: How should security teams govern telemetry pipelines in a multi-tool SOC?
A: Security teams should treat the pipeline as a policy layer, not a transport utility.
Q: Why do non-human secrets in logging pipelines increase security risk?
A: Because tokens, listener credentials, and service endpoints often outlive the configuration that created them.
Q: What breaks when telemetry forwarding paths are not tightly scoped?
A: Unscoped forwarding breaks accountability, because no one can prove which source sent which data to which destination.
Practitioner guidance
- Map every telemetry hop to an owning identity Assign an accountable owner to the Universal Forwarder, collector listener, HEC token, and each destination so every hop has a reviewable trust boundary.
- Classify HEC tokens as high-value machine secrets Store, rotate, and scope HTTP Event Collector tokens like privileged non-human credentials, with explicit index binding and revocation procedures.
- Restrict collector exposure to approved source networks Limit the TCP listener on port 8779, or the equivalent port in your environment, to known forwarder sources and monitor for unexpected connection attempts.
What's in the full article
Bindplane's full article covers the operational detail this post intentionally leaves for the source:
- Exact Splunk forwarder and HEC configuration values for reproducing the pipeline in a lab
- Step-by-step collector rollout settings for binding raw TCP input to Splunk destinations
- The dual-destination setup for sending the same stream to Splunk and Google Cloud Logging
- Part 2 references for extending the pipeline with additional sources and destinations
👉 Read Bindplane's full Splunk and Google Cloud Logging routing walkthrough →
Splunk telemetry routing with Bindplane: what changes for security teams?
Explore further
Telemetry pipelines are now identity systems by another name. Once a collector can accept logs from one source and deliver them to multiple destinations, it becomes a control plane for data access, not just an observability component. That means the same governance questions used for workload identity apply here: who can authenticate, what can they send, where can they forward, and how is misuse detected. Practitioners should stop treating log transport as neutral infrastructure and manage it as a privileged integration path.
A question worth separating out:
Q: How do teams decide whether to use a shared collector or separate logging paths?
A: Use a shared collector only when you can preserve clear ownership, strict destination scoping, and independent audit trails for each sink. If those controls cannot be separated cleanly, split the paths. The deciding factor is not convenience but whether the architecture keeps identity and access boundaries visible.
👉 Read our full editorial: Splunk telemetry routing with Bindplane shows the access-control gap