This guide outlines a practical four-step process to modernize legacy SIEMs for the AI era as threat actors increasingly use automation and AI to launch more sophisticated attacks. It explains that exploding data volumes, rising costs, and faster attack timelines require a shift toward AI-powered security operations. Step one focuses on assessing current SIEM data sources, blind spots, and architectural gaps, emphasizing the need for a unified data lake. Step two defines modernization goals such as AI-driven detection, data integrity, Zero Trust hardening, and stronger identity controls. Step three recommends a phased rollout to achieve quick wins without disrupting defenses, while step four stresses measuring impact through reduced critical incidents and faster mitigation times. The guide

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