Architecting Privacy-First: AI-Enhanced Compliance Frameworks in AWS-Based Healthcare Analytics

Sai Tarun Kaniganti

Abstract: This study focuses on the significance of data privacy and compliance issues in software development. This paper explores the difficulties of developers and organizations in compliance with GDPR and CCPA, presents a privacy-preserving model, and describes the application of AI and ML in the capacity of compliance. In addition to the theoretical discussion, the paper uses examples from the authors? previous studies and projects of utilizing the AWS environment to implement privacy-compliant decision-making.

Keywords: Data protection, regulation, regulation, GDPR, CCPA, privacy-friendly model, artificial intelligence, machine learning, Amazon Web Services, healthcare information analysis, privacy-centric design