Best Data Masking Software for Microsoft SharePoint

Compare the Top Data Masking Software that integrates with Microsoft SharePoint as of June 2025

This a list of Data Masking software that integrates with Microsoft SharePoint. Use the filters on the left to add additional filters for products that have integrations with Microsoft SharePoint. View the products that work with Microsoft SharePoint in the table below.

What is Data Masking Software for Microsoft SharePoint?

Data masking software enables organizations to safeguard sensitive data by obfuscating the data in order to hide it from potential breaches or threats. Compare and read user reviews of the best Data Masking software for Microsoft SharePoint currently available using the table below. This list is updated regularly.

  • 1
    IRI DarkShield

    IRI DarkShield

    IRI, The CoSort Company

    IRI DarkShield is a powerful data masking tool that can (simultaneously) find and anonymize Personally Identifiable Information (PII) "hidden" in semi-structured and unstructured files and database columns / collections. DarkShield jobs are configured, logged, and run from IRI Workbench or a restful RPC (web services) API to encrypt, redact, blur, etc., the PII it finds in: * NoSQL & RDBs * PDFs * Parquet * JSON, XML & CSV * Excel & Word * BMP, DICOM, GIF, JPG & TIFF DarkShield is one of 3 data masking products in the IRI Data Protector Suite, and comes with IRI Voracity data management platform subscriptions. DarkShield bridges the gap between structured and unstructured data masking, allowing users to secure data in a consistent manner across disparate silos and formats by using the same masking functions as FieldShield and CellShield EE. DarkShield also handles data in RDBs and flat-files, too, but there are more capabilities that FieldShield offers for those sources.
    Starting Price: $5000
  • 2
    IRI Data Protector Suite

    IRI Data Protector Suite

    IRI, The CoSort Company

    The IRI Data Protector suite contains multiple data masking products which can be licensed standalone or in a discounted bundle to profile, classify, search, mask, and audit PII and other sensitive information in structured, semi-structured, and unstructured data sources. Apply their many masking functions consistently for referential integrity: ​IRI FieldShield® Structured Data Masking FieldShield classifies, finds, de-identifies, risk-scores, and audits PII in databases, flat files, JSON, etc. IRI DarkShield® Semi & Unstructured Data Masking DarkShield classifies, finds, and deletes PII in text, pdf, Parquet, C/BLOBs, MS documents, logs, NoSQL DBs, images, and faces. IRI CellShield® Excel® Data Masking CellShield finds, reports on, masks, and audits changes to PII in Excel columns and values LAN-wide or in the cloud. IRI Data Masking as a Service IRI DMaaS engineers in the US and abroad do the work of classifying, finding, masking, and risk-scoring PII for you.
  • 3
    Mage Static Data Masking
    Mage™ Static Data Masking (SDM) and Test data Management (TDM) capabilities fully integrate with Imperva’s Data Security Fabric (DSF) delivering complete protection for all sensitive or regulated data while simultaneously integrating seamlessly with an organization’s existing IT framework and existing application development, testing and data flows without the requirement for any additional architectural changes.
  • 4
    Mage Dynamic Data Masking
    Mage™ Dynamic Data Masking module of the Mage data security platform has been designed with the end customer needs taken into consideration. Mage™ Dynamic Data Masking has been developed working alongside our customers, to address the specific needs and requirements they have. As a result, this product has evolved in a way to meet all the use cases that an enterprise could possibly have. Most other solutions in the market are either a part of an acquisition or are developed to meet only a specific use case. Mage™ Dynamic Data Masking has been designed to deliver adequate protection to sensitive data in production to application and database users while simultaneously integrating seamlessly with an organization's existing IT framework without the requirement of any additional architectural changes.​
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