Loan and Behold: GLBA Compliance With AWS
DownloadFinancial services organizations processing sensitive loan applications face pressure to ensure compliance while managing vast data. For mortgage lenders, meeting Gramm-Leach-Bliley Act (GLBA) requirements demands enterprise-scale data de-identification without disrupting operations.
This case study shows how a U.S. mortgage lender achieved GLBA compliance across 1.3 petabytes of data using an AWS-based anonymization solution. Highlights include:
- Processing speed increased 75x, from 200GB to 15TB/day
- PII detection accuracy reached 97.5%, exceeding the 95% goal
- Scalable anonymization covered 13.5 billion data objects
Read the full case study for more insights.
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