ENHANCING DIGITAL SECURITY THROUGH ARTIFICIAL INTELLIGENCE

Authors

  • Kamronbek Ibragimov Student of Brunel University Author

Keywords:

Artificial Intelligence, Digital security, cybersecurity, threat detection, predictive analytics, data protection, privacy, algorithmic bias, cyber threats, ethical AI.

Abstract

In the era of rapid technological advancement, digital security has become a critical priority across all sectors. This article explores how artificial intelligence (AI) is transforming digital security practices by enabling more effective threat detection, rapid response mechanisms, and predictive analytics. It discusses the role of AI in cybersecurity operations, including anomaly detection, automated incident response, and data protection. Moreover, the article addresses the challenges associated with AI-based security systems, such as algorithmic bias, privacy concerns, and the evolving complexity of cyberattacks. By analyzing current research and real-world applications, this study highlights both the opportunities and risks of integrating AI into digital security frameworks, emphasizing the need for ethical standards and continuous innovation in safeguarding cyberspace.

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Published

2025-06-24