Artificial intelligence (AI) and machine learning (ML) have redefined cybersecurity by shifting from reactive defense to proactive threat mitigation. These technologies analyze vast datasets, identify patterns, and detect anomalies faster and more accurately than traditional security methods. By continuously learning from data, AI and ML can predict and prevent cyberattacks in real time, identifying suspicious behaviors before they escalate into breaches. This capability significantly enhances threat detection, response times, and overall security posture, making AI-driven cybersecurity an essential pillar of modern digital defense.

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Artificial Intelligence (AI) and Machine Learning (ML) in Cybersecurity

  • GS Jha

摘要

Artificial intelligence (AI) and machine learning (ML) have redefined cybersecurity by shifting from reactive defense to proactive threat mitigation. These technologies analyze vast datasets, identify patterns, and detect anomalies faster and more accurately than traditional security methods. By continuously learning from data, AI and ML can predict and prevent cyberattacks in real time, identifying suspicious behaviors before they escalate into breaches. This capability significantly enhances threat detection, response times, and overall security posture, making AI-driven cybersecurity an essential pillar of modern digital defense.