Secure and Compliant Data Engineering Frameworks for Machine Learning in Regulated Industries
Abstract
Machine learning adoption in regulated industries demands strict data security, governance, and compliance controls. This research proposes a secure data engineering framework that embeds compliance checks directly into pipeline execution. The framework demonstrates effectiveness in financial and healthcare case studies.
Cite this article
(2025). Secure and Compliant Data Engineering Frameworks for Machine Learning in Regulated Industries. Research Explorations in Global Knowledge & Technology (REGKT), 4 (3). Retrieved from https://regkt.com/article.php?id=755&slug=secure-compliant-data-engineering-ml-regulated-industries