Enhancing cybersecurity with machine learning (ML) involves leveraging advanced algorithms to detect, predict, and prevent potential threats in real-time. By analyzing large datasets, ML identifies patterns, anomalies, and potential vulnerabilities, allowing systems to quickly respond to cyber attacks. Machine learning enhances the accuracy of threat detection, improves fraud detection systems, and enables more effective intrusion detection systems (IDS). It also helps in automating responses to known threats and adapting to new, sophisticated attacks. As cyber threats continue to evolve, machine learning strengthens defenses, making cybersecurity more proactive, scalable, and efficient.
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