Overview
Financial institutions collect vast amounts of customer data to detect fraud, assess risk and develop innovative products. TGS’ data anonymization solution enables you to extract maximum value from data while ensuring strict compliance with GLBA, SOX and evolving privacy regulations.
Benefits
- Regulatory Confidence: Achieve demonstrable GLBA compliance with automated PII detection and anonymization.
- Preserved Analytics Value: Maintain data utility for fraud detection, risk modeling and customer insights.
- Accelerated Innovation: Share anonymized datasets securely across teams and borders for product development.
- Reduced Compliance Risk: Minimize exposure to regulatory penalties through systematic privacy protection
Solution Details.
Our solution leverages Amazon Bedrock to automatically identify and protect sensitive data elements including account numbers, SSNs, transaction details and customer identifiers. We implement multiple anonymization techniques—masking, pseudonymization, generalization and perturbation—tailored to your specific use cases. The automated framework operates at the raw data layer, ensuring protection from initial ingestion through analytics consumption.
Proof/Outcomes
Financial services customers typically achieve up to 85% reduction in manual data classification effort while maintaining full analytical capabilities for risk and fraud models. Implementation accelerates compliant data sharing from months to days.
Why TEKsystems Global Services
As an AWS Premier Tier Services Partner with Security and Data & Analytics competencies, we bring deep financial services expertise and proven frameworks aligned to regulatory requirements. Our approach ensures your data anonymization strategy supports both compliance mandates and business innovation.
Request a consultation through AWS Marketplace to get started.
Highlights
- Achieve GLBA compliance with automated PII detection and anonymization.
- Maintain full analytics utility for fraud detection and risk management.
- Reduce manual data classification effort by up to 85%.
Details
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