Data Masking Reviews and Ratings
What are Data Masking ?
Data masking is based on the premise that sensitive data can be transformed into less sensitive but still useful data. This is necessary to satisfy application testing use cases that require representative and coherent data, as well as analytics that involve the use of aggregate data for scoring, model building and statistical reporting. The market for data protection, DM included, continues to evolve with technologies designed to redact, anonymize, pseudonymize, or in some way deidentify data in order to protect it against confidentiality or privacy risk.
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SQL Server is a relational database management software developed to support data storage, retrieval, and management for organizations of varying sizes. The software enables users to securely store and access structured data, run queries, create reports, and perform analytics. It supports transaction processing, business intelligence, and analytics applications. The software includes tools for database administration, backup and recovery, security management, and automated maintenance. It offers integration with other applications and supports scalability to accommodate growing data needs. SQL Server aims to address challenges related to managing large volumes of data, ensuring data integrity, and enabling businesses to analyze information for operational and strategic decision-making.
Mage Platform is a software designed for building, training, and deploying machine learning models. It provides automated workflows for data preprocessing, feature engineering, and model selection, aiming to streamline the machine learning pipeline for data scientists and engineers. The software supports integration with various data sources and tools, enabling users to manage experiments, monitor model performance, and handle model deployment in production environments. Mage Platform addresses the challenge of operationalizing machine learning projects by offering a collaborative environment and reducing the complexity of managing resources throughout the model lifecycle.
Azure SQL Database is a cloud-based relational database software designed to support transactional processing and analytics. It provides features such as automated backups, scalability, high availability, security controls, and built-in intelligence for performance tuning and threat detection. The software enables management of structured data with support for Transact-SQL programming and integration with other Azure services. It addresses business needs around data storage, high availability, disaster recovery, and operational efficiency by offering elastic scalability and maintenance automation, thereby allowing organizations to manage and analyze data applications in a cloud environment.
Oracle Enterprise Manager is a software designed to provide comprehensive management of databases, applications, and cloud environments. It offers monitoring, automation, and administrative capabilities that enable organizations to configure, test, deploy, and maintain their IT infrastructures. The software facilitates performance management, lifecycle automation, and compliance tracking across heterogeneous environments. It integrates with various Oracle products to streamline application deployment, optimize resource utilization, and support proactive issue resolution. Oracle Enterprise Manager helps businesses address the challenges of maintaining system availability, optimizing performance, and reducing operational complexity within enterprise IT ecosystems.
Informatica Cloud Data Masking is a software application designed to protect sensitive information by replacing original data with fictitious but realistic data within cloud environments. The software enables organizations to meet compliance requirements and reduce risks associated with unauthorized data access by providing masking and obfuscation capabilities for personally identifiable information, financial data, and other confidential records. It facilitates secure data sharing and testing across development, quality assurance, and analytics environments without exposing real data. This software automates the process of masking both structured and unstructured data and provides policy-driven masking techniques to address regulatory and data privacy needs.
Perforce Delphix is a software designed to provide data virtualization and management capabilities for enterprises. The software enables organizations to deliver secure and compliant copies of production data to development, test, and analytics environments. It streamlines the process of data provisioning, automates data delivery, and reduces storage requirements by creating virtual copies of databases. Perforce Delphix also offers features for data masking to help protect sensitive information and capabilities for data refresh and rewind, supporting agile development practices and faster application releases. The software addresses challenges related to slow data provisioning, data security, and compliance in complex IT environments.
The Voltage SecureData Enterprise platform protects any data over its entire lifecycle and helps customers solve complex data privacy challenges. Our leading format-preserving enterprise data protection techniques include encryption, tokenization, hashing, and masking to address privacy compliance, payments standards and regulations, and data security.
Test Data Manager is a software designed to assist organizations in managing test data for quality assurance and software development processes. The software provides features for creating, masking, and provisioning test data, enabling teams to generate compliant and relevant data sets. It helps streamline testing workflows by automating data creation and ensuring sensitive information is protected through data masking. Test Data Manager addresses business challenges related to test data availability, compliance with data privacy regulations, and the efficiency of test cycles. The software supports integration with various testing frameworks and environments to facilitate end-to-end testing and improve overall application reliability.
Imperva Data Masking (Legacy) is a software designed to protect sensitive data by transforming it into a masked form that preserves usability while preventing unauthorized access. The software enables organizations to secure personal and confidential information in databases and applications by automatically replacing sensitive values with fictional but realistic data. It supports masking of structured data to reduce the likelihood of data exposure during software development, testing, and analytics processes. The software addresses business needs associated with compliance to data privacy regulations, minimizing risk of data breaches, and safeguarding data handled by internal and third party personnel.
InfoSphere Optim Data Privacy is a software that enables organizations to protect sensitive information across databases, applications, and test environments. The software provides capabilities for data masking, encryption, and pseudonymization to help comply with data protection regulations and minimize exposure of confidential data during development, testing, training, and business analysis. InfoSphere Optim Data Privacy automates the identification and classification of sensitive data and supports cross-platform integration. The software aids businesses in managing risks associated with unauthorized access to personal or business-critical information by ensuring that only relevant and permitted data is available to users in non-production settings, thereby safeguarding privacy while maintaining operational efficiency.
Test Data Management (Legacy) software enables organizations to create, manage, and control test data for application development and testing processes. The software offers capabilities for provisioning, masking, and subsetting test data to ensure that development and quality assurance environments operate with relevant, reliable, and compliant data sets. It addresses business challenges related to data privacy, regulatory compliance, and testing accuracy by supporting the generation and manipulation of non-production data that mimics production environments. The software helps streamline testing cycles and reduce risks of data exposure by securing sensitive information and allowing teams to validate software functionality using realistic test data.
Data Secure is a software developed by EPI-USE Labs designed to manage data privacy and protection within SAP environments. The software offers features that assist organizations in identifying, redacting, and masking sensitive data to comply with data privacy regulations and internal governance requirements. Data Secure facilitates secure handling of personal information during testing, development, or data migration by enabling systematic anonymization and transformation of data sets. The software streamlines processes for data management and supports regulatory adherence, helping organizations address risks related to unauthorized data access and maintain audit readiness. Data Secure assists businesses in safeguarding confidential data, ensuring it can be used safely for various operational needs without exposing sensitive information.
You Need an End-to-End Solution
Power through regulatory roadblocks with measurably reduced risk
Protect sensitive data at its earliest point of entry into your systems Reduce the need to expose the data over the entire data lifecycle
Implementing data-centric security requires a platform that not only offers protection methods fitting your specific use cases, but that also allows you to identify and classify data-sets and perform data analytics across all of them. A data-centric solution must enable you to integrate into your enterprise applications and existing cyber security infrastructure.
Comforte data security platform comprises three integrated services to enable a comprehensive end-to-end data security strategy: SecurDPS Discovery & Classification, SecurDPS Enterprise for data protection integration and monitoring, and SecurDPS Connect.
SecuPi Platform is a software designed to provide data protection, privacy compliance, and access control for organizations managing sensitive information. It enables monitoring and controlling user activity across business applications and databases, allowing for real-time detection and masking of sensitive data. The software offers tools for policy enforcement, audit logging, and supports compliance requirements such as GDPR and CCPA. SecuPi Platform operates without requiring changes to existing applications and systems, aiming to reduce risk by restricting unauthorized access and tracking data usage. Businesses use this software to address regulatory obligations and safeguard confidential data within enterprise environments.
Protegrity Data Security Platform is a software designed to enable organizations to protect sensitive data across cloud, hybrid, and on-premises environments. The software provides data discovery, classification, tokenization, encryption, and access controls to help businesses manage and safeguard data in compliance with regulatory requirements. Its architecture supports integration with various databases, applications, and analytics tools, allowing for protection at rest, in transit, and during processing. The software addresses the business problem of data privacy and risk management by facilitating control over who can access information and by providing methods to reduce exposure in case of a breach. Additionally, it enables enterprises to securely use data for analytics and operational purposes while maintaining data confidentiality.
K2view Data Product Platform gets enterprise data AI ready: protected, complete, and accessible in a split second. It packages data as reusable products for use cases like Test Data Management, Data Masking, Synthetic Data Generation, and Generative AI. The platform connects to any data source and provisions data to any environment, automatically discovering, unifying, transforming, and masking sensitive information while preserving referential integrity across systems. Built for enterprises on patented Micro-Database technology, it organizes data by business entity, for example customer, order, and product, to ensure real time synchronization, in flight cleansing, and secure delivery. AI assisted copilots let users perform complex data operations through natural language chatbots. Using AI and machine learning, K2view creates compliant synthetic data for testing and model training, helping enterprises accelerate agility, improve data quality, and ensure regulatory compliance.
Eclipse Risk is a software designed to support risk-based monitoring and management in clinical research. The software offers capabilities for identifying, assessing, and mitigating risks across clinical trial operations, enabling organizations to track and analyze risk indicators throughout the study lifecycle. Eclipse Risk provides workflow tools for documentation and collaboration between study teams, along with reporting and visualization features that facilitate decision-making. The software aims to address challenges associated with manual risk tracking, helping organizations reduce inefficiencies and maintain compliance with regulatory requirements by supporting a structured and data-driven approach to risk management in clinical trials.
Oracle Data Masking and Subsetting is a software that helps organizations protect sensitive data and manage data securely by providing automated data masking and subsetting capabilities. The software masks confidential information within databases to prevent unauthorized access, ensuring compliance with privacy regulations. It also enables users to create smaller, targeted data sets for development, testing, or analytics, reducing storage requirements and minimizing risk when using production data outside secure environments. The software supports a range of database platforms and integrates with existing data management workflows to facilitate secure data use across application life cycles.
Solix Common Data Platform (CDP) is an enterprise software designed to manage, store, and analyze structured and unstructured data across various sources. The software provides features such as data archiving, privacy management, and analytics to support governance, compliance, and business intelligence initiatives. It enables organizations to consolidate data silos, simplify data lifecycle management, and ensure accessible data for business operations and reporting. Solix Common Data Platform supports regulatory compliance by providing tools for retention, security, and oversight of sensitive information. The software addresses challenges related to optimizing storage costs, streamlining access, and enabling data-driven decision making across business units.
The Immuta Data Security Platform unifies and optimizes how you govern and control your most critical data. Automatically connect and classify sensitive data. Control who has access with a single source of policy. Comply with regulations through real-time monitoring and reporting. Unifying data access control across cloud platforms, Immuta offers granular data security at enterprise scale, and simplifies ops to make it possible.
















