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AI in Data Privacy, Information Assurance and Computer Security

International Journal of Research in Signal Processing, Computing & Communication System Design

Volume 6 Issue 1

Published: 2025
Author(s) Name: N. Srinivas Rao, Praveen Kumar and Vinayagan S. | Author(s) Affiliation: Computer Science and Engg., Malla Reddy Engineering College for Women, Hyderabad, Telangana, India.
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Abstract

In order to improve computer security, information assurance, and data privacy, artificial intelligence (AI) has become a revolutionary force. Traditional security measures frequently find it difficult to handle sensitive data, identify sophisticated attacks, and guarantee compliance with changing privacy laws due to the exponential growth of digital data. Artificial intelligence (AI)-powered systems use natural language processing, machine learning, and deep learning to evaluate massive datasets, spot irregularities, forecast cyberattacks, and instantly automate threat responses. AI methods support safe data processing, privacy-preserving analytics, and protection against unwanted access in the field of data privacy. AI promotes proactive monitoring of system vulnerabilities, guarantees data integrity, and improves the accuracy of risk assessments in information assurance.

Keywords: Adaptive defence mechanisms, Anomaly detection, Artificial intelligence, Biometric authentication, Computer security, Cybersecurity, Data integrity, Data privacy, Deep learning

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