Regulatory Data Classification

RegulatoryTaxonomy

Automatically classify and tag regulatory data elements with 99.9% accuracy. AI agents that understand regulatory context and maintain comprehensive data taxonomies.

The Regulatory Data Challenge

Banks struggle with inconsistent data classification, manual tagging processes, and regulatory compliance gaps.

Manual Classification

Data stewards spend 60% of their time manually classifying and tagging regulatory data elements.

Inconsistent Standards

Different teams use different classification schemes, leading to regulatory reporting errors.

Regulatory Gaps

Missing or incorrect classifications result in compliance violations and regulatory penalties.

AI-Powered Regulatory Taxonomy

Intelligent agents that understand regulatory context and automatically maintain comprehensive data taxonomies.

Smart Classification

Advanced pattern recognition for PII, PHI, and regulatory data elements with 99.9% accuracy.

Custom Rules

Configurable classification rules that adapt to your specific regulatory requirements.

Regulatory Mapping

Automatic mapping to regulatory frameworks like Basel III, CCAR, CECL, and GDPR.

Real-time Updates

Continuous monitoring and updating of classifications as regulations evolve.

Advanced Classification Capabilities

Comprehensive data type coverage with intelligent context-aware classification.

Data Type Coverage

Personal Identifiable Information (PII)
Protected Health Information (PHI)
Financial data elements (Credit, Deposits, Loans)
Regulatory reporting fields (CCAR, CECL, Basel III)
Risk management data (Market, Credit, Operational)
Customer data (KYC, CDD, AML)

Intelligence Features

Sensitivity scoring and risk assessment
Context-aware classification using business metadata
Anomaly detection for misclassified data
Automated lineage tracking and impact analysis
Multi-language support for global operations
Regulatory change impact assessment

Implementation Timeline

Get up and running with regulatory taxonomy in just 30 days.

Week 1

Data Discovery

Scan and catalog existing data sources, identify classification gaps.

Week 2

Rule Configuration

Configure classification rules and regulatory mapping frameworks.

Week 3

AI Training

Train classification models on your specific data patterns and business context.

Week 4

Go Live

Deploy automated classification with continuous monitoring and updates.

Measurable Results

Real impact on regulatory compliance and operational efficiency.

99.9%
Classification Accuracy

Automated regulatory data tagging

85%
Time Reduction

Manual classification tasks eliminated

100%
Regulatory Coverage

All required data elements classified

$1.2M
Annual Savings

Reduced compliance and operational costs

Ready to Automate Your Regulatory Taxonomy?

See how AI agents can transform your data classification and regulatory compliance processes.