Modern security operations centers (SOCs) are facing increasing pressure due to the rise of AI-driven threats and more sophisticated attack methods that existing SecOps tools struggle to handle. Security teams are overwhelmed by large volumes of alerts that often lack sufficient context, making it difficult to accurately assess risk and prioritize responses. As a result, analysts spend significant time manually correlating data across multiple systems and using spreadsheets or log queries to understand exposures and threats. Effective defense now requires richer data, better contextual understanding, and faster, more automated decision-making. Agentic Security Operations aim to address these challenges by enabling machine-speed defenses that improve prioritization, reduce manual effort, an

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