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Learn how to revolutionize phishing detection capabilities through a unified approach that combines security analysts, developers, and data scientists in this technical conference presentation. Discover how traditional detection methods are enhanced with machine learning to identify increasingly sophisticated phishing attacks that often evade conventional security measures. Explore the architecture and methodology behind advanced HTML content analysis and machine learning models that extract meaningful features and patterns to improve threat detection accuracy while maintaining optimal performance. Understand how cross-functional collaboration between security analysts managing billions of requests and extensive blocklists, developers building powerful analytical pipelines that transform raw data into actionable insights, and data scientists designing and training continuously improving ML models creates intelligent, scalable, and proactive cybersecurity solutions. Gain practical insights into building and maintaining such systems, including technical challenges overcome and lessons learned when combining traditional security approaches with modern machine learning techniques to create more robust and intelligent security solutions that protect against evolving cyber threats.
