Explore the limitations and potential dangers of machine learning and artificial intelligence in cybersecurity in this Black Hat conference talk. Delve into the issues of explainability in algorithms and learn where deep learning applications may be inappropriate. Examine real-world examples demonstrating how blind application of algorithms, including deep learning, can lead to incorrect results. Discover the importance of understanding data, choosing appropriate algorithms, and incorporating expert knowledge in cybersecurity applications. Gain insights into alternative approaches like probabilistic inference and belief networks for more robust security solutions.