Cribl Launches Copilot Editor to Streamline Telemetry Data Transformation for IT and Security Teams

Cribl has introduced Copilot Editor, a new AI-powered feature designed to simplify telemetry data transformation and schema mapping across IT and security environments.

Copilot Editor builds on Cribl’s existing AI-powered Copilot capabilities. The tool helps teams translate logs into usable, structured formats, making it easier to filter, enrich, and route telemetry across multiple destinations. Think of it as a schema-aware assistant that understands the shape and semantics of your data and helps build or adapt pipelines in a fraction of the time.

The real value, though, is in the control it offers. Unlike black-box automation tools, Copilot Editor is designed to keep operators in charge. Every AI-generated recommendation is reviewable and adjustable—an approach that supports accountability while still accelerating delivery. Whether you’re onboarding a new data source, migrating SIEMs, or consolidating client data as an MSSP, the tool aims to cut down the manual legwork without introducing risk.

Cribl is positioning Copilot Editor for a broad range of use cases. For SIEM engineers, it reduces the time spent wrangling log formats. For DevOps and platform teams, it supports scalable data pipelines in dynamic multi-cloud environments. And for MSSPs, it standardizes telemetry ingestion across customers, improving both threat detection and reporting while helping control downstream costs.

Key capabilities include:

Human-in-the-loop controls: Operators can review and refine AI-generated pipelines to maintain data quality and accuracy.

Faster onboarding: New data sources can be integrated more quickly, with automation reducing the usual ramp-up time.

Flexibility in tooling: Schema-neutral architecture supports platform switching without code rewrites.

Improved threat detection: Automatically enriches data with required fields to support security investigations and reduce noise.

Scalability: Built to dynamically manage high-throughput pipelines as data volumes grow.

Because the tool is schema-agnostic, teams can move more freely between analytics platforms without starting from scratch. It also populates essential fields for security workflows, accelerating investigation and reducing noise without relying on brittle, custom-built logic.

Copilot Editor is available now and included with existing Cribl deployments. It reflects a larger trend we’re seeing in security and observability platforms: move fast, automate where it makes sense, but don’t give up transparency or control.