Production Data Protection
Production Data Protection: Multi-Layered Security for the Live Enterprise
Production environments house an organization's most valuable and vulnerable assets. Protecting this data requires a defense-in-depth strategy that operates in real-time without degrading application performance. Mage Data’s Production Data Protection suite provides a unified shield across your live estate—integrating access controls, behavioral monitoring, and on-the-fly transformations into a single, cohesive posture.
By combining granular Redaction and Dynamic Data Masking with a context-aware Database Firewall, we ensure that users only see the data their role permits, while unauthorized attempts are blocked instantly. With the added layer of Log Data Protection, we close the "observability gap," ensuring that sensitive data never leaks into your third-party monitoring tools. Mage Data allows you to harden your production systems against internal and external threats while maintaining total operational continuity.
Key Capabilities
Production Data Protection Overview
Precision Data Redaction
Implement "need-to-know" access by hiding sensitive fields entirely. Redaction provides a simple, high-impact way to block identifiers like SSNs or financial data for unauthorized users, serving as a robust first line of defense.
Role-Based Dynamic Masking
Deliver realistic, high-fidelity data tailored to specific user roles. Using RBAC, our engine transforms sensitive values into "safe" versions that maintain their original format and behavior, preserving application functionality.
Context-Aware Database Firewall
Harden your perimeter by enforcing strict access boundaries. Automatically block connections based on identity, location, or signatures, neutralizing the risk of "Shadow IT" and unauthorized access.
Database Activity Monitoring (DAM)
Gain real-time visibility with behavioral analysis and audit trails. Monitor query patterns to flag exfiltration attempts instantly, simplifying compliance for GDPR, HIPAA, and PCI-DSS.
Proactive Log Data Protection
Secure your observability pipeline by neutralizing sensitive data within log streams before ingestion into platforms like Splunk or Datadog, preventing compliance liability.
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