Cribl Brings Agentic AI to Telemetry with New Tools for Smarter, Faster Investigations

Cribl has introduced new AI-focused tools to its data engine, enabling IT and security teams to work more efficiently and effectively utilize their data. The updates - Cribl Notebooks, BYOAI, and the Model Context Protocol (MCP) - are designed to simplify investigations, reduce costs, and provide customers with greater control over how they use AI in their workflows.

Sydnee Mayers, AI Product Lead at Cribl, told ChannelE2E that the goal is to make the platform more open and flexible.

"Cribl is centered on being a flexible and open platform. We are already an orchestrator for all aspects of the data lifecycle - collection, streaming, storage, and analysis - that remains vendor agnostic. Agentic telemetry takes this a step further by connecting AI agents (built by Cribl or in a bring-your-own-agent fashion) into our data engine with the goal of enriching telemetry data with context from human-generated content and using these insights to accelerate how users act on this data.”

Smarter investigations with Notebooks

Cribl Notebooks let analysts run queries, add notes, and visualize data all in one place. That reduces time spent switching between tools and makes it easier to trace how investigations were done. The idea is to help teams find answers faster and strengthen future responses.

As Mayers explained, this approach builds toward what Cribl calls “agentic telemetry.” “Agentic telemetry is Cribl’s opportunity to empower every user to operate at maximum efficiency with the use of AI agents, rich data context, and our scalable data engine to accelerate and improve the quality of every IT and security workflow.”

BYOAI gives users control

Cribl’s “bring your own AI” option lets customers connect their preferred AI providers, such as OpenAI or Azure OpenAI, instead of being locked into one choice. This keeps them in control of data privacy, compliance, and costs.

“We are not explicitly getting into AI data governance,” Mayers said. “We are leveraging AI to empower every user to be a 10x SRE, SOC analyst, Platform Admin, etc., and leveraging AI to make sense of the broad types of machine and human-generated data to do this in a high-quality fashion.”

Partners see value in agentic workflows

Cribl’s new MCP integration layer is also gaining traction with MSPs. It helps them build “agentic workflows” that speed up onboarding, streamline management, and improve investigations for customers.

“Yes, we are seeing demand from MSPs, particularly in the realm of Model Context Protocol (MCP),” Mayers said. “MSPs and partners want to accelerate their business with agentic workflows that allow them to more effectively onboard and manage their customers. Similarly, MSPs and partners want to pass those benefits on to their customers by offering additional value with agentic workflows that can accelerate security and observability investigations and shorten the mean time to resolution.”

With these updates, Cribl is moving closer to being the link between data, AI, and people, helping teams analyze and act on information with more speed and less effort.