Safeguarding American Consumer Financial Data: Security Frameworks for Modern Wealth Management Systems
Year: 2025
Type: article
Abstract: Safeguarding sensitive financial data in wealth management systems presents unprecedented challenges in an era of sophisticated cyber threats targeting high-value assets. The Adaptive Financial Data Protection Framework (AFDPF) transforms security architecture for wealth management by implementing zero-trust principles tailored to financial contexts. Through rigorous validation with quantitative security metrics, case study evaluation, and architectural assessment, the framework demonstrates substantial risk reduction compared to conventional approaches. Examination of numerous US financial institutions exposes critical gaps between current security practices and emerging threat vectors, particularly in platforms handling sensitive consumer information. AFDPF exceeds current regulatory requirements while establishing new industry benchmarks and providing a systematic implementation roadmap for institutions of all sizes. The framework directly strengthens America's financial data protection ecosystem, classified as critical infrastructure by the Department of Homeland Security, offering actionable protection for millions against financial fraud and identity theft. Detailed case studies across varying institutional contexts validate practical implementation pathways and quantifiable security improvements applicable to wealth management environments regardless of scale or technological maturity.
Author: Sathya Prabu Rajagopal
Institution: Amrita Vishwa Vidyapeetham
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4411395400