Real-Time Threat Intelligence with Machine Learning Feedback Loops

Learn about implementing machine learning feedback loops for real-time threat intelligence in this 28-minute conference talk from BSidesMunich. Explore how to enhance cybersecurity systems through continuous learning mechanisms that adapt to emerging threats and improve detection accuracy over time. Discover practical approaches to integrating ML-driven feedback loops into threat intelligence platforms, enabling automated response capabilities and more effective security monitoring.