Industries in Focus: Machine Learning for Cybersecurity Threat Detection
Industries in Focus: Machine Learning for Cybersecurity Threat Detection
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Cybersecurity threats are becoming increasingly sophisticated and numerous. To address these challenges, the industry has turned to machine learning (ML) as a tool for detecting and responding to cyber threats. This article explores five key ML models that are making an impact in cybersecurity threat detection, examining their applications and effectiveness in protecting digital assets.
Applications of Machine Learning in Cybersecurity
Before examining specific models, it’s important to understand the broad applications of ML in cybersecurity: