Explore a comprehensive conference talk that demystifies AI and machine learning techniques for enhancing Security Operations Center (SOC) detection. Delve into the core concepts of AI and common machine learning methods, focusing on practical applications using existing data, basic machine learning principles, and Python. Discover how Credit Agricole's SOC team implements custom machine learning solutions, with a specific emphasis on preventing data leakage. Witness a live demonstration showcasing the team's enhanced detection process. Gain insights into topics such as behavioral analytics, isolation forests, deep learning with artificial neural networks and autoencoders, data representation, feature engineering, and result visualization. Learn about unsupervised machine learning evaluation, principal component analysis, and custom ML development. Acquire valuable takeaways and perspectives to improve your SOC's threat detection capabilities using AI and machine learning.