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Explore data-driven detection engineering techniques in this 30-minute conference talk that demonstrates how to efficiently identify malicious activity within vast amounts of security data and transform it into actionable threat intelligence. Learn a data-first methodology for building effective detection rules and threat feeds to catch command and control (C2) communications. Discover practical approaches to sifting through large datasets to uncover indicators of compromise (IOCs) and develop systematic methods for threat hunting. Gain insights into modern detection engineering practices that prioritize data analysis over traditional signature-based approaches, enabling more effective identification of sophisticated threats hiding in network traffic and security logs.
