How to Maximise Data Value in the AI Driven SOC

Security operations centres (SOCs) face growing pressure to keep up with evolving threats and the explosion of data—especially network data, which is critical for both human analysts and AI-driven detection, since AI relies on rich, high-quality data to identify threats. But as data volumes grow, so do costs and complexity, forcing tough choices about what to collect, store, and analyse. In this webinar, experts from Corelight and Cribl will show how modern SOCs can maximise the value of every byte—without breaking the bank. Learn how to tier data across SIEMs, data lakes, and object storage for cost efficiency, empower analysts with search-in-place and expanded datasets, and operationalise both human- and AI-generated context for faster, more effective threat hunting. Key Takeaways: - Discover how network evidence expands threat detection to cover advanced adversary techniques, including EDR evasion, and accelerates investigations. - Learn strategies to cost-effectively manage and tier security data across multiple storage solutions. - See how Corelight and Cribl enable investigations and provide rich datasets that machine learning platforms already understand, accelerating AI-driven security workflows. - Explore future-ready SOC architectures that integrate seamlessly with your existing SIEM, AI/ML, and detection tools.