Ever spent a week wrangling log pipelines just to get your SIEM to stop screaming about missing fields? Wasted way too much time stripping out noisy events and reformatting data for analytics? You’re not the only one. If you work in Security or ITOps, you know the pain: every new data source means another round of schema headaches, more manual mapping, endless field transformations, and a quick prayer that you didn’t break something critical (or let in a flood of junk events). Why is this still a thing in 2025?
Let’s talk about why building and maintaining pipelines is so broken… and how Cribl’s new Copilot Editor is actually worth getting excited about.
The Real Problem: Manual Pipelines, Vendor Lock-In, and AI Blind Spots
Manual overhead remains a persistent thorn in the side of SIEM onboarding. Engineers and analysts routinely spend hours (or days) writing and debugging pipelines just to map user to user.email or src_ip to source.ip. Each new log source or schema variant adds to the complexity, multiplying the engineering effort required for every integration.
Beyond this, proprietary schemas such as CIM and ASIM create a walled garden effect, making it nearly impossible to switch SIEMs or unify data across platforms. Organizations looking to evaluate new SIEMs often find their data trapped in translation hell, unable to move freely between systems.
As if that weren’t enough, inconsistent schemas undermine the effectiveness of modern threat detection. When your analytics and AI models are fed with mismatched or incomplete data, the result is a flood of false positives, missed alerts, and sluggish investigations that leave security teams constantly on the back foot.
Copilot Editor: AI That Actually Gets Your Data
More than just another automation layer, Copilot Editor delivers real value as an AI-powered decoder for telemetry data. It understands the structure and meaning of your raw telemetry, automatically mapping it to industry schemas like OCSF— no deep schema expertise required. But it doesn’t stop there: Copilot Editor also lets you easily transform, enrich, or redact data fields, and filter out irrelevant or noisy events before they hit your SIEM or data lake. Automation takes care of the heavy lifting, but you’re never left out of the loop; you can validate or tweak mappings for edge cases, ensuring you always retain control. With schema-agnostic flexibility, you can switch between standards or add new ones, including custom JSON, without rewriting everything from scratch. This future-proofs your pipelines and helps you avoid vendor lock-in. And because Copilot Editor is embedded in Cribl Stream, it scales elastically with your data, adapting as your telemetry grows and changes.
What Does This Mean for Real Teams?
With Copilot Editor, Security and IT teams can rapidly onboard and normalize data from sources like Palo Alto Networks, AWS VPC Flow logs, and more, accelerating time-to-value and enabling unified analytics across multiple SIEMs. Beyond mapping to standardized schemas, Copilot Editor empowers you to apply generic transformations—like enriching, redacting, or reformatting fields—to meet your organization’s unique requirements. And by filtering out high-volume, low-value events before ingestion, teams can further control costs while ensuring critical data remains accessible for future analysis. This means you can store all necessary records for compliance and investigations, but only rehydrate and ingest what’s truly needed, optimizing both performance and spend.
How Copilot Editor Works Under the Hood
Copilot Editor uses AI that blends our expertise with thousands of real-world telemetry samples and use-cases. When you point it at a new data source, it:
Automatically parses the raw event structure.
Suggests optimal mappings to your chosen schema, covering a wide range of event types like network activity, authentication, and HTTP events. (Map to OCSF right out-of-the-box, with more schema options coming soon!)
Recommends generic transformations, like field enrichment, redaction, or data type normalization, to make sure your data is analytics-ready.
Identifies and enables you to filter (drop) noisy or irrelevant events, reducing storage and ingestion costs.
Surfaces edge cases for your review. No more black-box automation!
Generates a declarative pipeline you can tweak, export, or version-control.
Mapping suggestion interface
Visualize the Workflow
Here’s what onboarding a new data source looks like with Copilot Editor:
Upload a sample log or connect a live stream.
Copilot Editor analyzes, auto-maps fields, and suggests transformations.
Review and approve (or override) mappings, transformations, and event filters.
Deploy the Pipeline— done!
Why Should You Care?
Because nobody wants to spend their career writing the same pipeline for the hundredth time. Copilot Editor is the first tool that lets you build, transform, and optimize your data pipelines—all in plain language, all in one place. Fast, flexible, and AI-powered, but never out of your control.
Ready to stop dreading your next SIEM onboarding or pipeline rewrite? Try Copilot Editor in Cribl Stream and see how much time you get back, whether you’re mapping schemas, transforming fields, or filtering events.
Pro Tips for Getting the Most From Copilot Editor
Start with your messiest log source and see how Copilot Editor slashes onboarding time.
Use the “human-in-the-loop” review to fine-tune critical security fields before pushing to production.
Filter out noisy or irrelevant events at the pipeline level to control costs and reduce alert fatigue.
Export your AI-generated pipelines as code for version control and compliance audits.
Compare your new schema mappings and transformations side-by-side with legacy pipelines to spot gaps and optimize quickly.
Take advantage of schema-agnostic support to future-proof your data flows as standards evolve.
Ready to See Copilot Editor in Action?
Try our Copilot sandbox or bring your own log sample to a call with a member of the Cribl team. You’ll see just how fast you can normalize, filter, transform, and route your data. No more manual mapping, and no more vendor lock-in.
