This book is a guide for anyone who intends to use machine learning technology to secure computer systems, from identifying anomalies to protecting end users. Examples of possible practical applications of machine learning technology for tasks such as intrusion detection, malware classification, and network environment analysis are presented. In addition to studying basic machine learning algorithms and techniques, special attention is paid to the difficult tasks of creating workable, reliable, scalable security data extraction and analysis systems. The publication will be useful to all computer security specialists to improve controlled systems.