Best Data Masking Tools - Page 5

Ashify

A simple and secure Data Masking tool to mask sensitive data without breaking your workflows. It helps you protect customer, employee, and financial information while ensuring your data remains usable and realistic for testing, analysis, and collaboration. With Ashify, you can upload Excel or CSV files and safely mask selected sensitive fields. Your original data is never exposed, and the dataset's structure and schema remain perfectly intact—so developers, testers, and analysts can work with it just like real production data. Whether you're sharing data with internal teams, vendors, or consultants, Ashify lets you do it without privacy risks. Burn the secrets, keep the structure—and share data with confidence.

Basis Theory

Build the payments stack fit for your business. Basis Theory offers a fully programmable vault to create engaging commerce flows, connect with any partner, effortlessly manage compliance, and keep control of payments data. Standing at the intersection of technology and commerce, Basis Theory’s PCI Level 1, SOC2 type 2, and ISO 27001-compliant vault revolutionizes the way fintechs and merchants build their payment infrastructure by providing unparalleled flexibility and customization. This enables businesses to tailor their payment stacks to their unique needs. From emerging fintech startups to established merchants, Basis Theory provides the tools and support necessary for each to craft a payment stack that perfectly aligns with their business model.

CamoText

CamoText is fully offline software for detecting and masking sensitive text or entire directories of files, with an easy human-in-the-loop final review interface.

Contour | Salesforce Data Masking App

Contour is a Salesforce-native application that helps organizations secure sensitive customer data through automated data masking and field-level security (FLS) management. It scans Salesforce orgs to identify sensitive fields, applies role-based masking, automates deployment across profiles and permission sets, and provides one-click rollback for safe changes. Contour keeps all data within Salesforce while helping businesses meet compliance requirements such as GDPR, HIPAA, PCI-DSS, and CCPA. Designed for Salesforce administrators and security teams, it reduces manual effort, improves governance, and protects production data without disrupting business operations.

Contour | Salesforce Data Masking Solution

Contour is a Salesforce-native data masking solution that protects sensitive data with real-time masking and role-based access.

Data Maestro

Data Maestro generates realistic fake data for testing and staging environments, and anonymizes real PII in files or live databases — for teams that need realistic test data without exposing real customer information. 75+ field types across 5 locales with cross-field consistency (a generated name matches its generated email), 30+ export formats, and direct connectors for 14 databases (Postgres, MySQL, MongoDB, ClickHouse, and more) so generated data can be pushed straight into a real database. The anonymization pipeline scans real data for PII and masks/pseudonymizes it while preserving referential integrity across related tables — built for smaller teams and agencies that need this without an enterprise compliance budget. Native macOS app (SwiftUI + Rust core), local-first. Free tier available; paid plans start at $15/month or $349 one-time for a lifetime license.

DataMasker

Datamasker masks/erase sensitive information from salesforce sandboxes and mitigates data privacy risk with automated & consistent processes. It can mask 99m records in 24 hours. Salesforce sandboxes carry real production data. Often, users have excessive data access in sandboxes that risks Personal Information (PI) exposure & breaches. DataMasker® masks or erases all sensitive information and mitigates data privacy risks with an automated and consistent process.

Data Sync Manager (DSM) Suite

With the world-renowned Data Sync Manager (DSM) Suite, you can copy and mask data efficiently between and within any SAP® ABAP-stack landscape, and reduce your footprint for agile, business-aligned landscapes.

Dataveil

DataVeil is for permanently masking sensitive data on SQL databases. Databases supported: SQL Server , Oracle , MySQL and Azure SQL .

Enterprise Test Data

Curiosity redefines enterprise test data management. We empower enterprises to thrive when delivering superior software, overcoming the test data challenges holding them back – complexity, legacy, and scale. Building on decades of experience in unblocking enterprise data delivery, our pioneering approach transforms how enterprises manage data. We focus on key productivity blockers: test data discovery, delivery, compliance, and quality. Our Enterprise Test Data® platform empowers your teams by simplifying your complex application landscape, and providing you with confidence and clarity at every step of your data journey.

IBM Guardium Data Encryption

IBM Guardium Data Encryption consists of an integrated suite of products built on a common infrastructure. These highly-scalable solutions provide encryption, tokenization, data masking and key management capabilities to help protect and control access to databases, files and containers across the hybrid multicloud—securing assets residing in cloud, virtual, big data and on-premise environments. Securely encrypting file and database data with such functionalities as tokenization, data masking and key rotation can help organizations address compliance with government and industry regulations, including GDPR, CCPA, PCI DSS and HIPAA.

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iStart Aadhaar Masking API

iStart Aadhaar Masking API helps financial institutions to mask customer Aadhaar numbers using computer vision and Optical Character Recognition (OCR). Our Computer Vision APIs process aadhaar images, and OCR extracts & masks Aadhaar numbers from scanned copies. It enables real-time masking while customer onboarding as well as bulk masking of legacy records stored in the client’s repository.

K2view Enterprise Data Masking

K2view Data Masking is a data protection solution that enables organizations to anonymize sensitive data while preserving its structure, relationships, and usability for testing, analytics, and data sharing. It discovers and classifies sensitive data across enterprise systems and applies consistent masking techniques to ensure compliance with data privacy regulations.z The platform uses an entity-based approach to masking, organizing data around business entities such as customers, accounts, or orders. This ensures that masking is applied consistently across all related data elements, maintaining referential integrity and contextual accuracy across multiple systems. Masking can be performed both in flight and at rest, supporting a wide range of operational and analytical use cases. K2view centralizes masking policies, allowing organizations to define rules once and enforce them across all data sources and environments. It supports structured and unstructured data, including databases, files, and documents, and integrates with enterprise data pipelines for automated and scalable execution. Synthetic data generation capabilities are also available to complement masking in scenarios where fully artificial datasets are required. Key capabilities include: • Automated discovery and classification of sensitive data across systems • Consistent masking at the business-entity level to preserve relationships and context • Support for masking structured and unstructured data across diverse sources • Centralized policy management with enforcement across environments • Integration with data pipelines and support for in-flight and static masking

Maya Data Masking

Maya Data Masking is a software solution designed to protect sensitive data and support compliance with privacy regulations such as GDPR, KVKK, HIPAA, and CCPA. It provides tools for data discovery, static masking, dynamic masking, and unstructured data discovery on file systems. Maya helps organizations secure sensitive information throughout the data lifecycle. The software is compatible with various databases and operating systems, enabling integration into diverse IT environments. Its design prioritizes ease of installation and user-friendly operation, making it suitable for complex enterprise settings.

NextLabs Data Access Enforcer

NextLabs' Data Access Enforcer is a comprehensive data security solution designed to protect sensitive information by enforcing dynamic, attribute-based access controls across various applications and databases. By implementing Zero Trust principles, DAE ensures that data access is granted strictly on a need-to-know basis, regardless of how or where the data is accessed. This approach enhances data privacy, streamlines compliance with regulations such as GDPR, ITAR/EAR, and SOX, and reduces the need for custom code, thereby lowering security and compliance management costs. Key Features and Functionality: - Attribute-Based Security: DAE evaluates user attributes—including location, department, and project assignment—to dynamically enforce fine-grained access policies at runtime. - Field-Level Dynamic Data Masking: Sensitive data fields are masked in real-time based on user permissions, ensuring that unauthorized users cannot view protected information. - Record-Level Data Segregation and Filtering: DAE segregates data dynamically, allowing users to access only the records they are authorized to see, based on defined policies. - Granular Enforcement of Data Manipulation Language Actions: The solution controls database operations such as create, read, update, and delete, ensuring that users can perform only the actions they are permitted to. - Centralized Policy Management: DAE offers a centralized platform for managing access policies, simplifying administration and ensuring consistent enforcement across the enterprise. - Seamless Integration: With out-of-the-box support for over 100 enterprise applications and databases, DAE integrates without the need for custom coding, facilitating rapid deployment and minimal disruption to existing systems. Primary Value and Problem Solved: DAE addresses the critical challenge of safeguarding sensitive data in complex, multi-application environments. By enforcing dynamic, attribute-based access controls, it ensures that only authorized users can access or manipulate data, thereby preventing unauthorized disclosure and data breaches. This not only enhances data security but also aids organizations in achieving compliance with stringent regulatory requirements. Furthermore, DAE's no-code integration and centralized policy management reduce the complexity and cost associated with traditional security implementations, offering a scalable and efficient solution for modern enterprises.