Cribl, which provides a data engine for IT and security, announced Copilot Editor. This AI-powered telemetry management solution is designed to increase productivity for IT and security professionals, reducing manual effort while preventing critical errors through human-in-the-loop controls.
Copilot Editor employs AI to help IT and security teams conduct schema mapping, translating logs across disparate systems into industry standard formats while building function sequences to process and transform data. Copilot Editor lets users map raw telemetry in minutes while eliminating the need for extensive schema knowledge.
“IT and security teams are drowning in manual processes and rigid tools that can’t keep up. Copilot Editor changes that. It’s like an AI-powered Rosetta Stone for telemetry, translating raw, messy data into standardized, analytics-ready formats so operators can extract useful insights on their terms, all without sacrificing control or requiring schema expertise,” said Dritan Bitincka, the co-founder and CPO of Cribl. “This isn’t black-box AI. With Copilot Editor, humans stay in the driver’s seat. Our human-in-the-loop design gives operators full visibility and control over their data–because when you’re dealing with mission-critical systems, oversight isn’t optional.”
Copilot Editor is purpose-built for IT and security teams. Users can automate building complicated solutions, fine-tuning them and allowing the system to instantly adapt and dynamically scale.
Copilot Editor helps achieve:
- Human-in-the-loop experiences.
- Time-to-value.
- Freedom from vendor lock-in.
- Automated security.
- Elastic scale.
Copilot Editor builds on Cribl’s AI-powered Copilot, an engineering partner that puts decades of engineering experience at the fingertips of every user. Copilot accelerates data management productivity and bridges the skills gap to enable customers to tackle complex IT and security data challenges.
