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Enhancing Cybersecurity Incident Response through Data Correlation and Automation
The chapter explores the significance of correlating activities from various sources in cybersecurity incidents and the potential of XDR in data aggregation for correlation. It delves into the importance of proactive security measures, automation, and context in making effective security decisions. The conversation discusses incident response automation, centralized data stores for assets, integrating asset information with detection engines, challenges with user behavior analytics, and the limitations of baselining and machine learning in incident response automation.