Cribl Adds Agentic AI Features to Cribl Search Platform
Cribl, a data engine for IT and security, has introduced agentic artificial intelligence capabilities for Cribl Search, designed to help IT and security teams analyze operational data more efficiently. The new features allow AI-driven agents to assist users with searching, analyzing and interpreting machine data collected from across enterprise systems. The enhancements are intended to help teams investigate operational issues and security events more quickly by automating portions of the data analysis process. Cribl Search unifies human-generated context with log ingestion, storage and analysis across data stores.
Cribl Search is used by organizations to explore large volumes of telemetry and log data from infrastructure, applications and security tools. Agentic telemetry delivers AI-speed performance, structures data at ingestion, remains schema-agnostic and uses agentic AI to fuse machine data with human context. By adding agentic AI capabilities, Cribl aims to simplify how teams interact with complex datasets and reduce the time required to identify potential problems. Enterprises are increasingly exploring AI agents that can help automate operational and security tasks.
Posted by Pure AI Editors on 03/11/2026