Data Sensitivity Classification

Introduction

Data Classification uses machine learning and pattern matching to identify and classify sensitive information. Apply appropriate protection controls based on data sensitivity.

Key Features

  • Automated sensitive data discovery
  • Pattern-based classification
  • PII and regulated data detection
  • Remediation and masking
  • Classification policy enforcement

Real-World Use Cases

  • GDPR personal data discovery
  • PCI DSS cardholder data protection
  • Healthcare data HIPAA classification
  • Financial data protection
  • Data inventory and cataloging

Getting Started

To begin using this MCP, start by configuring your API credentials and environment. Most integrations provide comprehensive documentation and quick-start guides. Connect the MCP to your workflow, test with sample data, and gradually expand to production use cases. The CSGA platform provides monitoring and logging to track usage and identify optimization opportunities.

Integration with CSGA Platform

This MCP integrates seamlessly with the CSGA Global platform. Through our unified dashboard, you can monitor usage, track performance metrics, and manage configurations. The platform provides analytics on MCP performance, cost tracking, and ROI analysis. Integration with other MCPs in the ecosystem enables powerful multi-tool workflows and automated operations across your entire technology stack.

Related Training & Resources

Explore our comprehensive MOOC (Massive Open Online Course) dedicated to this MCP. Learn from expert instructors, work through practical exercises, and earn certifications to validate your expertise. Access course materials, video tutorials, and community forums to deepen your understanding.

For detailed technical documentation, API reference, and advanced integration patterns, visit the full MCP documentation portal.