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Automatically classify and tag regulatory data elements with 99.9% accuracy. AI agents that understand regulatory context and maintain comprehensive data taxonomies.
Banks struggle with inconsistent data classification, manual tagging processes, and regulatory compliance gaps.
Data stewards spend 60% of their time manually classifying and tagging regulatory data elements.
Different teams use different classification schemes, leading to regulatory reporting errors.
Missing or incorrect classifications result in compliance violations and regulatory penalties.
Intelligent agents that understand regulatory context and automatically maintain comprehensive data taxonomies.
Advanced pattern recognition for PII, PHI, and regulatory data elements with 99.9% accuracy.
Configurable classification rules that adapt to your specific regulatory requirements.
Automatic mapping to regulatory frameworks like Basel III, CCAR, CECL, and GDPR.
Continuous monitoring and updating of classifications as regulations evolve.
Comprehensive data type coverage with intelligent context-aware classification.
Get up and running with regulatory taxonomy in just 30 days.
Scan and catalog existing data sources, identify classification gaps.
Configure classification rules and regulatory mapping frameworks.
Train classification models on your specific data patterns and business context.
Deploy automated classification with continuous monitoring and updates.
Real impact on regulatory compliance and operational efficiency.
Automated regulatory data tagging
Manual classification tasks eliminated
All required data elements classified
Reduced compliance and operational costs
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