AI is increasingly being utilized to strengthen cybersecurity measures by automating threat detection, response, and prevention. Machine learning algorithms can analyze network traffic patterns to identify anomalies indicative of potential cyber threats. Additionally, AI can automate responses to detected threats, significantly reducing response times compared to traditional methods. AI-powered systems can continuously learn and adapt to evolving threats, enhancing overall security posture. However, there are limitations; AI systems may struggle with false positives and negatives, leading to potential breaches if not managed properly. Moreover, cybercriminals are also leveraging AI technologies, creating a cat-and-mouse game between security measures and attackers. Therefore, while AI can significantly enhance cybersecurity, it should be part of a multi-layered security approach that includes human oversight, robust policies, and ongoing training.

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