Real-Time Botnet Defense at CVS - AI-Driven Detection and Mitigation on Databricks
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Discover how CVS Health built an enterprise-grade, AI-driven botnet defense system using the Databricks platform in this 34-minute conference talk. Learn about the advanced architecture that leverages cutting-edge machine learning capabilities to detect and mitigate bot attacks in near-real time, addressing the evolving challenges posed by digital armies of compromised devices. Explore the system's robust components including scalable data ingestion, sophisticated feature engineering techniques, and comprehensive MLOps strategies for production deployment. Understand how the team tackled unique challenges such as processing bulk HTTP traffic data, implementing time-series anomaly detection, and developing attack signature identification methods. Examine the business value delivered through downtime minimization and automated threat response capabilities, particularly crucial for healthcare sectors where data integrity and service continuity are paramount. Gain insights from real-world lessons learned while building a solution designed to stay ahead of continuously evolving adversaries and discover how this system transforms traditional security frameworks to handle high-speed, high-volume botnet attacks effectively.
Syllabus
Real-Time Botnet Defense at CVS: AI-Driven Detection and Mitigation on Databricks
Taught by
Databricks