Ensuring GDPR Compliance with AI: Best Practices for Strengthening Information Security

Authors

  • Bharadwaja Reddy Chirra Independent Research Scientist, Southern Arkansas University Author

Keywords:

Artificial Intelligence (AI), General Data Protection Regulation (GDPR), Information Security, Data Protection, Privacy-by-Design, Compliance Strategies.

Abstract

As artificial intelligence (AI) becomes increasingly integrated into business processes, ensuring compliance with the General Data Protection Regulation (GDPR) has become a critical concern for organizations handling personal data. This paper explores how AI can both facilitate and challenge GDPR compliance, focusing on best practices for safeguarding personal data and enhancing information security. We investigate the role of AI in automating data protection measures, such as consent management, data anonymization, and breach detection, while also addressing potential risks related to transparency, accountability, and bias. By evaluating current strategies and AI technologies, we provide recommendations for organizations to align their AIdriven processes with GDPR principles, ensuring that privacy is maintained without compromising innovation. This paper highlights the importance of balancing regulatory compliance with the transformative potential of AI, offering a comprehensive framework for strengthening information security in the age of data-driven technologies.

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Published

2022-07-04

How to Cite

Ensuring GDPR Compliance with AI: Best Practices for Strengthening Information Security. (2022). International Journal of Machine Learning Research in Cybersecurity and Artificial Intelligence, 13(1), 441-462. https://ijmlrcai.com/index.php/Journal/article/view/248

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