India, Jan. 28 -- For years, SIEM has been a core part of enterprise security strategies. When it first emerged in the late 1990s, SIEM focused mainly on collecting and storing logs for troubleshooting and compliance. Its role was largely reactive, centered on visibility rather than action. As cloud computing took hold, SIEM platforms evolved. Advanced analytics, machine learning, and user and entity behavior analytics were added, along with SOAR and threat intelligence capabilities. These enhancements improved detection and incident response. But as threats became more sophisticated and AI-driven, regulations more demanding, attack surfaces broader, and security teams more constrained, traditional SIEM platforms began to fall behind.

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