The Impact of AI on Cybersecurity: Opportunities and Challenges
Abstract
As cyber threats become increasingly sophisticated, the integration of artificial intelligence into cybersecurity strategies has emerged as a critical solution. This paper examines how AI technologies, such as machine learning and anomaly detection, can enhance threat identification and response times. By analyzing current trends and real-world applications, the study highlights the potential of AI to predict and mitigate cyberattacks, streamline incident response, and automate security processes. However, the paper also addresses the challenges associated with AI adoption in cybersecurity, including potential biases in algorithms, the need for skilled professionals, and the implications of AI-driven decision-making on organizational security frameworks.
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