Best Data Masking Tools - Page 6

PHEMI Health DataLab

The PHEMI Trustworthy Health DataLab is a unique, cloud-based, integrated big data management system that allows healthcare organizations to enhance innovation and generate value from healthcare data by simplifying the ingestion and de-identification of data with NSA/military-grade governance, privacy, and security built-in. Conventional products simply lock down data, PHEMI goes further, solving privacy and security challenges and addressing the urgent need to secure, govern, curate, and control access to privacy-sensitive personal healthcare information (PHI). This improves data sharing and collaboration inside and outside of an enterprise—without compromising the privacy of sensitive information or increasing administrative burden. Built on privacy-by-design principles, the software gives researchers, scientists, and clinicians faster access to more information while ensuring that they only see data on a need-to-know basis. Responsible data sharing and a governance framework facilitate compliance with privacy regulations. PHEMI Trustworthy Health DataLab can scale to any size of organization, is easy to deploy and manage, connects to hundreds of data sources, and integrates with popular data science and business analysis tools. For more information, visit https://www.phemi.com/ and follow us on Twitter @PHEMISystems, Linkedin, Youtube, and Facebook

Average Rating: 3.9/5.0

Total Reviews: 6

PK Protect Data Store Manager

Most organizations have a reasonable handle on what data lives on their endpoints. The real problem is everything else: the databases, data lakes, cloud repositories, packaged applications, and ERPs holding petabytes of sensitive data that nobody has fully mapped, let alone protected. That's the problem PK Protect Data Store Manager (DSM) was built to solve. DSM automatically discovers and protects sensitive data across your entire backend data infrastructure, structured, semi-structured, and unstructured, without requiring manual intervention or relying on individual teams to know where everything is. Once data is found, policy-driven protections are applied automatically: masking, tokenization, encryption, redaction, quarantine, or deletion. What it does: DSM scans and protects petabytes of data across on-premises, hybrid, and cloud environments. It supports the broadest range of platforms in the industry including Oracle, SQL Server, PostgreSQL, DB2, Hadoop, AWS, Azure, Snowflake, Salesforce, and more. It also surfaces shadow data, the untracked, forgotten data sitting in corners of your environment that traditional tools miss entirely. Who it's built for: Data security, compliance, and privacy teams in regulated industries managing large, distributed data environments who need consistent protection across every data store, not just the ones they already know about. Where it stands out: DSM keeps data usable while keeping it secure. That means masked data remains available for development, testing, AI training, and analytics without exposing the underlying sensitive values. More than thirty masking options give teams the flexibility to match protection to use case without breaking downstream workflows. Compliance support: DSM meets requirements for PCI DSS, HIPAA, GDPR, CCPA, GLBA, SOX, FISMA, and more, with automated policy enforcement and audit-ready reporting built in. One top U.S. bank relies on DSM to protect sensitive data across 400 applications and 18,000 databases containing nearly a million tables.

Protecto

Protecto is the Data Control Plane for Agentic AI. We help enterprises discover, classify, and protect sensitive and confidential data across AI agents, RAG pipelines, and MCP-enabled workflows. Key capabilities: - Discovery and classification of sensitive and context-based data across data stores and AI workflows, in hours rather than weeks - Context-preserving, format-preserving masking that keeps AI outputs coherent - CBAC (Context-Based Access Control) for context-based sensitive information that traditional DLP tools miss - GPTGuard MCP for policy-aware, protected RAG retrieval - Continuous monitoring for privacy and compliance risk - Simple APIs for integration with existing ETL and AI pipelines - Self-guided onboarding with clear documentation

PVML

PVML is an integrated data access management platform designed to centralize and secure access to multiple data sources without the need to move or duplicate data. By connecting various databases, PVML provides a collaborative workspace that ensures efficient, flexible, and secure data handling.

Quieta

Quieta is a local-first data masking application for professionals who use AI on confidential documents. It runs entirely on your own machine: no data ever reaches Quieta's servers, and no account is required to start. Quieta protects three surfaces. The clipboard, for desktop AI apps. A Chrome extension, for web AI such as ChatGPT, Claude.ai, Gemini and Perplexity. And Mirror, a pair of synchronised folders for AI coworkers such as Claude Cowork, Mistral Work and Codex for Work: your folder holds the real files, the agent's folder holds masked copies, and files the agent produces come back to you with the real values restored automatically, in both directions, in real time. Detection is pseudonymisation, not deletion. Each real value maps to a pseudonym stored locally, so the AI keeps a coherent, readable document to work on, and you get a complete answer back with your own names, clients and figures in place. Quieta covers names, emails, addresses, phone numbers, IDs, IBANs and EU-specific identifiers, in Word, Excel, PowerPoint, PDF, CSV and code files, across English, French, Spanish, and more. Quieta is built for lawyers, consultants, HR and R&D teams, and privacy-conscious individuals who need to use AI without handing over client data. It is not an enterprise gateway or a cloud proxy: cloud redaction happens after the data has already left your machine, which is too late. Quieta runs on macOS and Windows. Free plan at 0 EUR, Plus at 7 EUR/month billed yearly, Pro at 15 EUR/month billed yearly with Mirror included. 30-day money-back guarantee on paid plans.

Randtronics DPM easyData

DPM Token Manager is a high performance tokenization engine and web front end console.

Rectify

Rectify leverages privacy-enabled artificial intelligence™ to automate the removal of private information when data sharing occurs. We help organizations decrease the human involvement required to identify and remove consumer identities, trade secrets, IP and other private data in data sets that are being sent to third parties.

Safe Privacy Mask

Safe Privacy Mask is a Chrome extension that detects and replaces sensitive information in input fields before data is sent to external services. The extension identifies emails, phone numbers, API keys, tokens, IP addresses, credit card numbers, and region-specific IDs, replacing them with customizable tokens directly in the input field. Detection and masking occur locally on the device, ensuring no personal data is sent to external servers. The extension supports AI chat platforms like ChatGPT, Claude, Gemini, and Copilot, and works with any web form via manual field registration. Users can create unlimited custom replacement rules using word matching or regular expressions, with options for case sensitivity and whole-word matching. Masking can occur in real time, upon pasting, or before sending. No account creation, ads, or tracking is required, and settings are stored locally. Advanced features include checksum validation for credit card numbers and timeout protection for rules.

Soflab G.A.L.L.

The Soflab G.A.L.L. application is designed to anonymize sensitive data in non-production environments, enabling the generation of high-quality synthetic data that remains consistent with real data and supports reliable testing. At the same time, it ensures full protection of sensitive information, effectively preventing data leaks. https://soflab.pl/en/data-anonymization-soflab-gall/ - Anonymize test data – ensure GDPR compliance without the risk of penalties during ERP migration - Identify and anonymize sensitive data in databases – full GDPR compliance during audits - Create realistic test data automatically – faster than scripts - Golden record for vendors – anonymized data with full validation - Prepare data for e-discovery – anonymized and audit-ready. One of the modules helps businesses locate sensitive data—such as personally identifiable information (PII), protected health information (PHI), payment card industry (PCI) data, intellectual property (IP), and other important business data—stored across multiple company systems including databases and applications, as well as on user endpoints. Monitor data stores in real time to search for newly created sensitive data Offer contextual search functions to understand factors such as file type, sensitivity, user type, location, and other metadata It is a perfect tool for Sensitive Data Discovery as also for Data Masking.

Trust3.ai

Trust3 AI is a control plane to provide full visibility and security of your agents and everything they touch across the entire agent lifecycle, from build-time to runtime.

Velum

WinDocks

Windocks breaks the enterprise data bottleneck with a range of capabilities including database virtualization, Windows SQL Server Docker containers, synthetic data based masking, database subsetting, and unique code-free and platform native feature data, and single source of truth. Windocks has been trusted by enterprises around the world since 2015, including Novartis, American Family Insurance, DoubleLine, and many more. Windocks software is an affordable solution for small enterprises, as well as departmerns and divisions in a large organization.

Average Rating: 5.0/5.0

Total Reviews: 3

Xafe

Xafe Cognitive Privacy Platform ensures datum within a dataset remains private and secure by combining Privacy Enhancing Technologies including Differential Privacy & Confidential Computing, allowing businesses to share and exchange data without compromising personal information.

XDM Data Orchestration Platform

UBS Hainer has been in the Data Orchestration space since 1997, helping clients to migrate data and to make it available to their QA, engineering and analytics teams, in the mainframe as well as the distributed world. Data accessibility is an increasingly important bottleneck as development teams speed up with the help of AI tools. QA, model training as well as analytics cannot be done without high-fidelity, real world data. Access is often restricted due to privacy and security regulations, especially in highly regulated fields such as banking, insurance and healthcare. Our XDM Data Orchestration Platform makes masked production data available to testers, ML engineers and automation engineers, bridging data availability bottlenecks without sacrificing compliance by exposing sensitive PII / PHI. Where no production data is available, it can generate synthetic data using AI. Fully automate your data distribution or have data consumers "order" referencially intact data on demand in business terms from a web GUI, without needing to know specifics about how data is stored and related across different sources. XDM can copy and subset data from a wide range of database and cloud storage technologies. Sophisticated and highly-customizable masking algorithms and the PII-finder tool ensure no sensitive information is distributed to test / training environments. XDM is distributed as a set of docker / OCI images, can run on premise or in the cloud. A REST API gives operators full control over functionalities and facilitates integration into existing CI/CD pipelines. Don't hesitate to reach out at ubs-hainer.com or LinkedIn!