This video covers the role of machine learning in cybersecurity, focusing on supervised and unsupervised learning for anomaly detection. It explores common algorithms used in network security and highlights AI-powered tools like Splunk, ELK Stack, and Darktrace. It also discusses challenges such as false positives and data biases in AI implementation.
