AI-Powered Data Loss Prevention (DLP) for Detecting and Mitigating Cloud-Based Sensitive Data Leaks

Authors

  • Manish Tomar Citibank, USA Author
  • Akhil Reddy Bairi Nelnet Business Solutions, USA Author

Keywords:

data loss prevention, artificial intelligence

Abstract

Though security issues abound, cloud computing has revolutionized data storage and processing. DLP stops unauthorized access and data theft by use of security policies. This DLP research driven by artificial intelligence correct cloud-based sensitive data leaks. Rich deep learning NLP models find real-time PII, financial data, and IP both structured and unstructured. Machine learning systems spotting inappropriate access and transfers help to lower data breach rates.

artificial intelligence increases DLP. Domain-specific deep learning enhances classification by use of context and knowledge of complex data structures. Unsupervised and semi-supervised machine learning identify aberrant user activity, hence improving behavioral analytics. Google Cloud and AWS Macie DLP AI compatible of GDPR/CCPA.

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Published

13-05-2022

Issue

Vol. 2 No. 1 (2022): Advances in Deep Learning Techniques (ADLT)

Section

Articles

How to Cite

[1]
M. Tomar and A. Reddy Bairi, “AI-Powered Data Loss Prevention (DLP) for Detecting and Mitigating Cloud-Based Sensitive Data Leaks”, Adv. in Deep Learning Techniques, vol. 2, no. 1, pp. 110–153, May 2022, Accessed: Apr. 29, 2025. [Online]. Available: https://tsbpublisher.org/adlt/article/view/1