Machine Learning in Cybersecurity: 5 Real-Life Examplesby@ngorovitch
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Machine Learning in Cybersecurity: 5 Real-Life Examples

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Machine learning can help solve the most common tasks, including pattern detection, prediction, regression, and classification. Microsoft Windows Defender, for example, employs multiple layers of machine learning to block potential threats. More and more security companies are implementing machine learning in their processes, especially applied to early treatment detection. The role of ML in network security is to identify the behavior patterns of users, data, equipment, systems, and networks, and to distinguish abnormal from normal. It also helps administrators analyze large amounts of data, investigate new types of threats, and respond to threats faster.

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