Cribl Unveils AI-Native Search to Cut Log Costs and Speed Security Response

New updates have been reported about Cribl.

Cribl has launched a new generation of Cribl Search, positioning its AI-native log intelligence platform as core infrastructure for security and IT teams facing AI-driven data and query growth. Built on what the company calls an “agentic telemetry” architecture, the upgraded Search is designed to lower log management costs, accelerate incident response, and consolidate tools by unifying log ingest, storage, and analysis across both Cribl-managed and external data stores.

The new Cribl Search automatically normalizes telemetry at ingest using AI-powered parsing and merges machine data with human context from systems such as Jira, Git, and ServiceNow, giving teams a single, shared investigation surface. Federated analysis allows both human analysts and AI agents to query data wherever it resides, including existing data lakes and object stores, with performance enhancements aimed at supporting high-volume, archival, and AI-speed queries while avoiding the upfront normalization costs that burden legacy SIEM platforms.