Markov Chains are highlighted as effective prediction tools for identifying outliers in log data, especially when dealing with limited data. Mick Douglas, the Principal Instructor, discusses the application of this machine learning algorithm in log analysis, emphasizing its potential to expedite the process through quick anomaly detection. The talk provides insights into leveraging Markov Chains for log analysis efficiently, even when working with unfamiliar log sets
This discussion was presented at the SANS AI in Cybersecurity Summit 2024 and offers practical tips for implementing this approach. With a focus on enhancing defenders' capabilities, the presentation underscores the significance of leveraging Markov Chains as a strategic tool for faster log analysis in cybersecurity operations. https://www.youtube.com/watch?v=2vH-qSspIHE