Machine Learning in Cybersecurity: 5 Real-Life Examples

Helping companies make sense of their data. From real-time cybercrime mapping to penetration testing, machine learning has become a crucial part of cybersecurity. Fortunately, machine learning can help solve the most common tasks, including pattern detection, prediction, regression, and classification. In an era of large amounts of data and a shortage of network security talents, machine learning seems to be an alternative to solve many problems. Indeed, through machine learning, when applied to computer security, we can sort through millions of files to discover threats.