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Despite more data and more tools, investigations remain slow, manual, and fragmented as teams still must piece together context across siloed systems. In an era where AI doesn't just assist, it acts, remediates, blocks, and decides, it is no longer practical to feed autonomous systems with telemetry pipelines designed for human interpretation. It isn't just inefficient; it's risk at machine speed. The problem isn't AI. It's the data foundation beneath it.
Join us live on April 29th, where we’ll break down:
Why traditional SIEM and observability architectures struggle at AI-scale
The impact of investigations built on normalized, enriched, and accessible telemetry
How leading teams adopt a flexible, vendor-neutral approach – collect once, enrich early, and use everywhere
We’ll walk through a practical framework for building an AI-ready investigation architecture so you can move faster, reduce blind spots, and scale investigations without scaling cost or headcount.
Ready to future-proof your telemetry? Save your spot, register today.
Meet the Experts
Perry Correll is the Principal Technical Content Manager at Cribl. Cribl Search and Copilot are his focus. Making complex technology and concepts simple to understand is his mission. Prior to Cribl? I started my IT career at Cabletron, bonus to those of you familiar with the company. Has one wife, no kids, 2 dogs and a Maine Coon. Does not eat sushi, loves pizza and some day hopes to find the San Fernando, y San Francisco de Paula (1733 fleet)
Felicia Dorng is a Staff Product Marketing Manager at Cribl, focused on Cribl Lake. She enjoys working with talented people, crafting messaging, and leading launches. Prior to Cribl? Snowflake, Splunk, Aruba Networks. Felicia has a husband, a daughter, a second daughter on the way, and a dog. She enjoys reality tv and eating sushi and pizza.