The Problem with Legacy SIEMs... and a New Way Forward

Security operations were built for a world where humans investigated alerts after data was already centralized and stored. That model is breaking down. SIEM costs are exploding, telemetry volumes are surging, and AI is raising the stakes on both sides — attackers are moving faster, and defenders now need enriched, high-quality data available before a query ever runs. Traditional SIEM-centric architectures weren't built for this. This session makes the case for shifting detections into the stream–evaluating, enriching, and correlating data in motion, before it’s ever indexed–and ensuring detections’ resilience as schemas and configurations drift. We’ll explore the architectural and operational challenges driving this shift, why AI makes in-stream detections not just better but necessary, and how we’re evolving CardinalOps technology after the acquisition to bring this vision to life. You'll leave with: - A clear picture of what "detections in the stream" actually means in practice - Strategies for cutting SIEM costs without sacrificing visibility - An understanding of why AI accelerates the case for architectural change in the SOC For SOC leaders, detection engineers, security architects, and platform teams modernizing their detection strategy for the AI era. ## Follow Cribl LinkedIn: https://www.linkedin.com/company/cribl/ Twitter: https://www.twitter.com/cribl_io Sign up for a Cribl.Cloud account: https://cribl.cloud/signup/ Learn more about Cribl: https://cribl.io