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Newsletter

August 2025

Hello!

Unlock the full potential of your data with Mage Data’s Static Data Masking

Data fuels innovation, but sensitive information often needs to travel beyond production—into development, testing, analytics, and partner ecosystems. That’s where risk grows. Mage Data’s Static Data Masking (SDM) enables enterprises to share and use data confidently by transforming sensitive values into secure, anonymized datasets that retain business meaning and usability.

Whether in-place or in-motion through data pipelines, our solution gives teams the flexibility to accelerate projects without compromising compliance or security. Our approach creates Perfectly Useful, Entirely Useless™ data—fully functional for IT and analytics needs, but safely anonymized to eliminate risk.

Recognized as a leader by independent analysts—Bloor Research (Test Data Management), QKS Group (Data Masking), and Forrester (Dynamic Data Masking)—Mage Data is also proud to be named a Customer’s Choice in Data Masking by Gartner Peer Insights, reflecting our strong customer-first focus.

This month, we spotlight how SDM drives digital transformation—empowering organizations to move faster, stay compliant, and keep data protected wherever it flows.

Here are key highlights this month:
      1. Reimagining Static Data Masking for Modern Enterprise
      2. Capability 1 – In-Place SDM
      3. Capability 2 – Secure Data Pipelines
      4. Capability 3 – Intelligent Subsetting

    Please feel free to reply to this email, or we will be reaching out to schedule time to share what is new, show you live demos, and discuss how Static Data Masking fits into your roadmap.

    Reimagining Static Data Masking for Modern Enterprise

    Mage Data’s Static Data Masking (SDM) enables enterprises to create fully anonymized, production-like datasets that maintain data integrity while removing sensitive information. From legacy systems to modern data sources, SDM ensures that sensitive data is protected wherever it resides. Built on top of Mage Data’s AI-powered Sensitive Data Discovery, SDM automatically identifies and classifies sensitive information, allowing secure masking across databases, data pipelines, and analytics environments. Whether anonymizing in-place, delivering right-sized subsets, or managing complex data flows, Mage Data empowers developers and analysts to innovate confidently while remaining compliant with global privacy regulations such as GDPR, HIPAA, and PCI-DSS. By providing secure, realistic, and ready-to-use datasets, SDM accelerates innovation across development, testing, and analytics environments.

    Capability 1: In-Place SDM

    Non-production copies of live data are a frequent cause of breaches. Mage Data’s In-Place Anonymization addresses this by masking sensitive fields directly inside existing databases. There is no duplication, no migration, and no disruption to business processes. Enterprises can instantly secure dev and test environments, eliminate exposure in non-production systems, and still maintain realistic, usable datasets for innovation. This seamless approach reduces risk while keeping digital transformation on track.

    Click to Book a demo

    Capability 2: Secure Data Pipelines

    As enterprises modernize, data pipelines have become the foundation for migrations, analytics, and test data provisioning. Yet, these pipelines often move sensitive information between environments without adequate safeguards. Mage Data’s Secure Data Pipelines embed masking directly into data flows, automating the extraction, anonymization, and loading of data from any source—including relational databases, Data Warehouses, NoSQL, and file stores—into any target, whether cloud, on-premises, or hybrid. With high-speed pipelines engineered for enterprise scale, Mage Data protects sensitive data in motion and simplifies pipeline management across diverse ecosystems enabling enterprises to remain compliant while accelerating delivery.

    Click to Book a demo

    Capability 3: Intelligent Subsetting  

    Enterprises rarely require entire production datasets for testing or development, but creating the right-sized subset has traditionally been complex and manual. Mage Data’s Intelligent Subsetting automates this process with AI-driven insights that detect relationships across data models and generate secure, business-ready subsets. By working with smaller, targeted datasets, organizations cut storage costs, shorten testing cycles, and strengthen compliance. With built-in self-service provisioning, teams gain fast, secure access to the data they need—without waiting on IT. Why It Matters

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