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Many SOCs are still running on legacy SIEM architectures built for yesterday's problems, forcing teams to choose between cost, coverage, and compliance, and trim the very data they need for effective detection and response. SecOps leaders and practitioners can't keep up with today's velocity of telemetry, tooling, and AI‑driven threats.
We'll unpack why traditional data engineering and SOC workflows are breaking under AI-scale data, and how high-performing teams are modernizing their SOC on a unified, vendor-neutral data control plane that seamlessly complements AI-driven platforms like Cortex XSIAM.
In this session, you'll learn how to:
Turn security data chaos into an AI-ready foundation across your SIEM, XDR, data lakes, and AI stack
Extend retention and improve detection coverage without blowing your SIEM or storage budget
Unify analyst search across hot and cold data to cut MTTD/MTTR and reduce manual toil, freeing your team for higher-value, agentic workflows
Whether you're evaluating SOC modernization, exploring platforms like Cortex XSIAM, or simply trying to get more from the data you already have, you'll leave with a clear path forward and concrete next steps. Watch now.
Meet the Experts
Ed Bailey is a passionate engineering advocate with more than 20 years of experience instrumenting a wide variety of applications, operating systems, and hardware for operations and security observability. He has spent his career empowering users to understand their technical environment and quickly make data-backed decisions. At the same time, he has worked with business leaders to balance economic efficiency with the right mix of technical capabilities to meet current and future requirements.
