Alternatives to Soflab G.A.L.L.
Compare Soflab G.A.L.L. alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Soflab G.A.L.L. in 2026. Compare features, ratings, user reviews, pricing, and more from Soflab G.A.L.L. competitors and alternatives in order to make an informed decision for your business.
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Titaniam
Titaniam
Titaniam provides enterprises and SaaS vendors with a full suite of data security/privacy controls in a single, enterprise grade solution. This includes highly advanced options such as encryption-in-use that enables encrypted search and analytics without decryption, and also traditional controls such as tokenization, masking, various types of encryption, and anonymization. Titaniam also offers BYOK/HYOK (bring/hold your own key) for data owners to control the security of their data. If attacked, Titaniam minimizes regulatory overhead by providing evidence that sensitive data retained encryption. Titaniam’s interoperable modules can be combined to support hundreds of architectures across multiple clouds, on-prem, and hybrid environments. Titaniam provides the equivalent of 3+ categories of solutions making it the most effective, and economical solution in the market. Titaniam is featured by Gartner, IDC, and TAG Cyber and has won coveted industry awards e.g. SINET16 and at RSAC2022. -
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DATPROF
DATPROF
Test Data Management solutions like data masking, synthetic data generation, data subsetting, data discovery, database virtualization, data automation are our core business. We see and understand the struggles of software development teams with test data. Personally Identifiable Information? Too large environments? Long waiting times for a test data refresh? We envision to solve these issues: - Obfuscating, generating or masking databases and flat files; - Extracting or filtering specific data content with data subsetting; - Discovering, profiling and analysing solutions for understanding your test data, - Automating, integrating and orchestrating test data provisioning into your CI/CD pipelines and - Cloning, snapshotting and timetraveling throug your test data with database virtualization. We improve and innovate our test data software with the latest technologies every single day to support medium to large size organizations in their Test Data Management. -
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IRI Voracity
IRI, The CoSort Company
Voracity is the only high-performance, all-in-one data management platform accelerating AND consolidating the key activities of data discovery, integration, migration, governance, and analytics. Voracity helps you control your data in every stage of the lifecycle, and extract maximum value from it. Only in Voracity can you: 1) CLASSIFY, profile and diagram enterprise data sources 2) Speed or LEAVE legacy sort and ETL tools 3) MIGRATE data to modernize and WRANGLE data to analyze 4) FIND PII everywhere and consistently MASK it for referential integrity 5) Score re-ID risk and ANONYMIZE quasi-identifiers 6) Create and manage DB subsets or intelligently synthesize TEST data 7) Package, protect and provision BIG data 8) Validate, scrub, enrich and unify data to improve its QUALITY 9) Manage metadata and MASTER data. Use Voracity to comply with data privacy laws, de-muck and govern the data lake, improve the reliability of your analytics, and create safe, smart test data -
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IRI FieldShield
IRI, The CoSort Company
IRI FieldShield® is powerful and affordable data discovery and masking software for PII in structured and semi-structured sources, big and small. Use FieldShield utilities in Eclipse to profile, search and mask data at rest (static data masking), and the FieldShield SDK to mask (or unmask) data in motion (dynamic data masking). Classify PII centrally, find it globally, and mask it consistently. Preserve realism and referential integrity via encryption, pseudonymization, redaction, and other rules for production and test environments. Delete, deliver, or anonymize data subject to DPA, FERPA, GDPR, GLBA, HIPAA, PCI, POPI, SOX, etc. Verify compliance via human- and machine-readable search reports, job audit logs, and re-identification risk scores. Optionally mask data as you map it. Apply FieldShield functions in IRI Voracity ETL, federation, migration, replication, subsetting, or analytic jobs. Or, run FieldShield from Actifio, Commvault or Windocks to mask DB clones. -
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Informatica Persistent Data Masking
Informatica
Retain context, form, and integrity while preserving privacy. Enhance data protection by de-sensitizing and de-identifying sensitive data, and pseudonymize data for privacy compliance and analytics. Obscured data retains context and referential integrity remain consistent, so the masked data can be used in testing, analytics, or support environments. As a highly scalable, high-performance data masking solution, Informatica Persistent Data Masking shields confidential data—such as credit card numbers, addresses, and phone numbers—from unintended exposure by creating realistic, de-identified data that can be shared safely internally or externally. It also allows you to reduce the risk of data breaches in nonproduction environments, produce higher-quality test data and streamline development projects, and ensure compliance with data-privacy mandates and regulations. -
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DOT Anonymizer
DOT Anonymizer
Mask your personal data while ensuring it looks and acts like real data. Software development needs realistic test data. DOT Anonymizer masks your test data while ensuring its consistency, across all your data sources and DBMS. The use of personal or identifying data outside of production (development, testing, training, BI, external service providers, etc.) carries a major risk of data leak. Increasing regulations across the world require companies to anonymize/pseudonymize personal or identifying data. Anonymization enables you to retain the original data format. Your teams work with fictional but realistic data. Manage all your data sources and maintain their usability. Invoke DOT Anonymizer functions from your own applications. Consistency of anonymizations across all DBMS and platforms. Preserve relations between tables to guarantee realistic data. Anonymize all database types and files like CSV, XML, JSON, etc.Starting Price: €488 per month -
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Randtronics DPM easyData
Randtronics
DPM easyData is a high-performance data spoofing or de-identification engine. Data spoofing examples include masking, tokenization, anonymization, pseudonymization and encryption. DPM data spoofing processes replace whole or parts of sensitive data with a non-sensitive equivalent (creates fake data) and is a very powerful data protection tool. DPM easyData is a software data security solution that allows web and app server applications and databases to tokenize and anonymize data and apply masking policies for unauthorized users when retrieving sensitive data. The software allows a high level of granularity, defining which authorized users have access to which protection policies, and what operations they may perform with those protection policies. DPM easyData is extremely customizable and is able to protect and tokenize many different types of data. The software has been designed to be flexible and users are free to define any format of input data and token format. -
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DataVantage
DataVantage
DataVantage offers comprehensive data management solutions designed to secure and manage sensitive information across mainframe and distributed environments. Key offerings include DataVantage for IMS, Db2, and VSAM, which provide advanced data masking, editing, and extraction capabilities to protect Personally Identifiable Information (PII) during non-production processes. DataVantage DME (Data Masking Express) offers cost-effective, on-the-fly data masking for Db2, IMS, and VSAM environments, ensuring compliance without disrupting existing workflows. For distributed systems, DataVantage Global delivers robust data masking, obfuscation, and de-identification, supporting compliance and operational efficiency across platforms. Additionally, DataVantage Adviser simplifies COBOL file management post-mainframe rehosting or application modernization, enhancing data accessibility and editing. -
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Subsalt
Subsalt Inc.
Subsalt is the first platform built to enable the use of anonymous data at enterprise scale. Subsalt's Query Engine dynamically optimizes the tradeoffs between data privacy and fidelity to the source data. Queries return fully-synthetic data that preserves row-level granularity and data formats without disruptive data transformations. Subsalt provides compliance guarantees supported by third-party audits that satisfy HIPAA's Expert Determination standard. Subsalt supports multiple deployment models to meet the unique privacy and security requirements of each client. Subsalt is SOC2-Type 2 and HIPAA compliant. The system has been designed to minimize the risk of exposure or breach of real data. Existing data and ML tools integrate directly with Subsalt's Postgres-compatible SQL interface, making adoption a breeze. -
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BizDataX
Ekobit
BizDataX is a data masking that provides test data of production-level quality. It enables compliance with GDPR and other regulations by masking customers' identity while preparing data for testers and developers. By using masked/anonymized data instead of production data, the risk is significantly reduced. Focus on policy management, business requirements, sensitive data governance and other regulations. Track inventory of databases, data sources, tables and want to know where sensitive data is located. Manage large customer databases and exchange data with online partner shops and parcel delivery companies. Management of medical records is heavily regulated and regulatory compliance can be achieved with data anonymization. -
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OpenText Data Privacy & Protection Foundation (Voltage) provides organizations with quantum-ready, format-preserving security that protects sensitive data without disrupting workflows or analytics. It helps companies meet evolving regulatory requirements by securing information at rest, in motion, and in use across hybrid and cloud environments. With NIST-standardized Format-Preserving Encryption and stateless key management, the platform delivers high-performance protection at enterprise scale. Its persistent data security approach ensures that sensitive information remains safeguarded throughout its lifecycle, even as it moves across systems and analytics platforms. Trusted globally across more than 50 countries, the solution is relied on by major financial, healthcare,& retail organizations to secure billions of daily data events. By combining proven cryptography with flexible integrations, OpenText enables organizations to reduce breach risk while maintaining operational agility.
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HushHush Data Masking
HushHush
Today’s businesses face significant punishment if they do not meet the ever-increasing privacy requirements of both regulators and the public. Vendors need to keep abreast by adding new algorithms to protect sensitive data such as PII and PHI. HushHush stays at the forefront of privacy protection (Patents: US9886593, US20150324607A1, US10339341) with its PII data discovery and anonymization tool workbench (also known as data de-identification, data masking, and obfuscation software). It helps you find your and your customer's sensitive data, classify it, anonymize it, and comply with GDPR, CCPA, HIPAA / HITECH, and GLBA requirements. Use a collection of rule-based atomic add-on anonymization components to configure comprehensive and secure data anonymization solutions. HushHush components are out-of-the box solutions designed to anonymize both direct identifiers (SSN, credit cards, names, addresses, phone numbers, etc.) as well as indirect identifiers, with both fixed algorithms. -
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Nymiz
Nymiz
Hours spent anonymizing data manually is time taken away from actual work. When data isn’t easily shareable, information gets trapped, creating silos within the organization and leading to poor knowledge management. The constant worry of whether shared data is compliant with ever-evolving regulations (GDPR, CCPA, HIPAA & more). Nymiz securely anonymizes personal data, through reversible or irreversible methods. The original data is replaced with asterisks, tokens or synthetic surrogates to improve privacy while maintaining the value of the information. By recognizing context-specific data like names, phone numbers, and social security numbers, we achieve superior results compared to tools that lack artificial intelligence capabilities. Additional security layer at the data level. Anonymized or pseudonymized information has no practical value if it is stolen through a security breach or exposed by human errors. -
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IBM InfoSphere® Optim™ Data Privacy provides extensive capabilities to effectively mask sensitive data across non-production environments, such as development, testing, QA or training. To protect confidential data this single offering provides a variety of transformation techniques that substitute sensitive information with realistic, fully functional masked data. Examples of masking techniques include substrings, arithmetic expressions, random or sequential number generation, date aging, and concatenation. The contextually accurate masking capabilities help masked data retain a similar format to the original information. Apply a range of masking techniques on-demand to transform personally-identifying information and confidential corporate data in applications, databases and reports. Data masking features help you to prevent misuse of information by masking, obfuscating, and privatizing personal information that is disseminated across non-production environments.
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The growing security threats and ever-expanding privacy regulations have made it necessary to limit exposure of sensitive data. Oracle Data Masking and Subsetting helps database customers improve security, accelerate compliance, and reduce IT costs by sanitizing copies of production data for testing, development, and other activities and by easily discarding unnecessary data. Oracle Data Masking and Subsetting enables entire copies or subsets of application data to be extracted from the database, obfuscated, and shared with partners inside and outside of the business. The integrity of the database is preserved assuring the continuity of the applications. Application Data Modeling automatically discovers columns from Oracle Database tables containing sensitive information based on built-in discovery patterns such as national identifiers, credit card numbers, and other personally identifiable information. It also automatically discovers parent-child relationships defined in the database.Starting Price: $230 one-time payment
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Libelle DataMasking
Libelle
Libelle DataMasking (LDM) is a robust, enterprise-grade data masking solution that automates the anonymization of sensitive or personal data—such as names, addresses, dates, emails, IBANs, credit cards—and transforms them into realistic, logically consistent substitutes that maintain referential integrity across SAP and non‑SAP systems, including Oracle, SQL Server, IBM DB2, MySQL, PostgreSQL, SAP HANA, flat files, and cloud databases. Capable of processing up to 200,000 entries per second and supporting parallelized masking for massive datasets, LDM uses a multithreaded architecture to efficiently read, anonymize, and write data back with high performance. It features over 40 built‑in anonymization algorithms—such as number, alphanumeric, date shifting, name, email, IBAN masking, credit card obfuscation, and mapping algorithms—as well as templates for SAP modules (CRM, ERP, FI/CO, HCM, SD, SRM). -
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AnalyticDiD
Fasoo
De-identify sensitive data, including personally identifiable information (PII), through pseudonymization and anonymization for secondary use or analysis, such as comparative effectiveness studies, policy assessment, and life sciences research. This is critical as organizations gather and compile large amounts of business data to understand trends, gain insights into customer preferences, and develop new innovations. Regulations such as HIPAA and GDPR require that data be de-identified, but the challenge is that many de-identification tools focus on eliminating personal identifiers, but make it difficult to use the data. Transform PII into data that cannot be used to identify data while ensuring privacy using data anonymization and pseudonymization techniques. This allows you to effectively analyze large amounts of data without violating privacy regulations. De-identify data using selected methods and privacy models from broad areas of data de-identification and statistics. -
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Anonomatic
Anonomatic
Safely store, anonymize, mask, mine, redact, and share sensitive data with 100% data accuracy and full international data privacy compliance. Reap significant time and cost savings, with no loss of functionality, when you separate PII from identified data. Embed PII Vault to create innovative solutions, reduce time to market, and deliver the most PII secure solutions anywhere. Unlock data to deliver more accurate and targeted messaging. Provide one, simple step to anonymize all data before it reaches your platform. Combine disparate, anonymous data sets at the individual level without ever receiving PII once that data has been anonymized with Poly- Anonymization™. Replace PII with a compliant multi-value, non-identifying key used in anonymous data matching to link data from multiple organizations. -
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Informatica Test Data Management
Informatica
We help you discover, create, and subset test data; visualize test data coverage; and protect data so you can focus on development. Automate provisioning of masked, subsetted, and synthetically generated data to meet development and testing needs. Identify sensitive data locations quickly with consistent masking in and across databases. Store, augment, share, and reuse test datasets to improve testers’ efficiency. Provision smaller data sets to minimize infrastructure requirements and speed performance. Use our comprehensive set of masking techniques to consistently protect data across applications. Support packaged applications to ensure solution integrity and speed deployments. Engage risk, compliance, and audit teams to align with data governance initiatives. Improve test efficiency with reliable, trusted production data sets; reduce server and storage footprints with data set sizes targeted for each team. -
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Oracle Advanced Security
Oracle
Encrypt application tablespaces to prevent out-of-band access to sensitive data using Oracle Advanced Security. Redaction policies prevent the proliferation of sensitive data and aid in compliance with data protection regulations. Transparent Data Encryption (TDE) stops would-be attackers from bypassing the database and reading sensitive information directly from storage by enforcing data-at-rest encryption in the database layer. Encrypt individual data columns, entire tablespaces, database exports, and backups to control access to sensitive data. Data Redaction complements TDE by reducing the risk of unauthorized data exposure in applications, redacting sensitive data before it leaves the database. Partial or full redaction prevents large-scale extraction of sensitive data into reports and spreadsheets. Encryption is implemented at the database kernel level, eliminating the need for any changes to applications. -
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Dynamic Data Replicator
Enterprise Data Insight
The Dynamic Data Replicator is a versatile application that offers various functions. It allows for the swift creation of new non-production systems, streamlines the process of refreshing clients by minimizing the space required, facilitates on-demand data copying for specific purposes, and ensures data security by implementing GDPR-compliant measures for non-production systems. With this tool, SAP users can consistently access current and pertinent data for activities such as production support, testing, and training, providing them with the necessary data precisely when it is needed. -
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Qlik Gold Client
Qlik
Qlik Gold Client improves the efficiency, cost and security of managing test data in SAP environments. Qlik Gold Client is designed to eliminate development workarounds by easily moving configuration, master, and transactional data subsets into testing environments. Rapidly define, copy and synchronize transactional data from production to non-production targets. Identify, select, and delete non-production data. Manage extensive and powerful data transformations through a clean and easy-to-use interface. Automate data selection and enable hands-free test data refresh cycles, reducing time and effort for test data management. Qlik Gold Client provides several options to protect PII data in non-production environments via data masking. Data masking applies a set of rules to “scramble” your production data when it’s replicated to a non-production environment. -
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CloudTDMS
Cloud Innovation Partners
CloudTDMS solution is a No-Code platform having all necessary functionalities required for Realistic Data Generation. CloudTDMS, your one stop for Test Data Management. Discover & Profile your Data, Define & Generate Test Data for all your team members : Architects, Developers, Testers, DevOPs, BAs, Data engineers, and more ... CloudTDMS automates the process of creating test data for non-production purposes such as development, testing, training, upgrading or profiling. While at the same time ensuring compliance to regulatory and organisational policies & standards. CloudTDMS involves manufacturing and provisioning data for multiple testing environments by Synthetic Test Data Generation as well as Data Discovery & Profiling. Benefit from CloudTDMS No-Code platform to define your data models and generate your synthetic data quickly in order to get faster return on your “Test Data Management” investments. CloudTDMS solves the following challenges : -Regulatory ComplianceStarting Price: Starter Plan : Always free -
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Dataguise
Dataguise
Don’t let data security or privacy hinder your analytics-driven innovation efforts. Dataguise can protect personal and sensitive data with flexible masking or encryption options to retain maximum business value. Data sets ready for analysis can be delivered in near real time for fresher insights and better decisions based on the complete picture. Dataguise customers have diverse and ever-changing needs. We recognize that by developing a strong network of carefully selected partners, we can deliver more comprehensive solutions, services, and expertise to our customers. Learn how to protect data privacy while maximizing data value in this executive guide. When compared to other data discovery solutions, Dataguise has been around longer, supports a broader range of data types and repositories, delivers lower false-positive results, and more reliably scans data at scale. Dataguise gives organizations the confidence to act on data in the best interests of the businesses, -
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Informatica Dynamic Data Masking
Informatica
Your IT organization can apply sophisticated masking to limit sensitive data access with flexible data masking rules based on a user’s authentication level. Blocking, auditing, and alerting your users, IT personnel, and outsourced teams who access sensitive information, it ensures compliance with your security policies and industry and civil privacy regulations. Easily customize data-masking solutions for different regulatory or business requirements. Protect personal and sensitive information while supporting offshoring, outsourcing, and cloud-based initiatives. Secure big data by dynamically masking sensitive data in Hadoop. -
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Infosys Test Data Management
Infosys
Infosys Test Data Management offering ensures a high degree of test coverage, by providing the right data, in the right quantity, and at the right time, in a non-production environment. It addresses Agile and DevOps integration, provides self-service data capability, leverages Machine learning for Data profiling and sensitivity analysis, intelligent data masking. It also ensures provision of data to cloud-based large Big Data transformation programs. The offering blends data management practices, in-house test data management tools and partner solutions to deliver end-to-end traceability of test data. -
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Mage Static Data Masking
Mage Data
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. -
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Doculayer
Doculayer
Forget about manual content classification and data entry. Doculayer.ai offers a configurable pipeline with document processing services like OCR, document type classification, topic classification, data extraction and data masking. Doculayer.ai puts business users in the driver's seat by making training/learning easy via an intuitive user interface for labeling of documents and data. With our hybrid data extraction approach machine learning models can be combined with rules, patterns and library scripts to obtain better results with less training data in less time. For the protection of sensitive data within documents, data masking can be anonymized or pseudonymized. Doculayer.ai adds document intelligence to your Content Services Platform, Business Process Management systems, and RPA solutions. Supercharge your existing IT environment for document processing with machine learning, natural language processing, and computer vision technologies. -
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Syntheticus
Syntheticus
Syntheticus® empowers data exchange and overcomes limitations in data access, scarcity, and bias - at scale. With our synthetic data platform, you generate high-quality and compliant data samples tailored to your business needs and analytics goals. With synthetic data, you easily tap into a wide range of high-quality sources that are not always available in the real world. By accessing high-quality, consistent data, you conduct more reliable research, leading to better products, services, and business decisions. With fast, reliable data sources at your fingertips, you accelerate product development cycles and improve time-to-market. Synthetic data is designed to be private and secure by default, protecting sensitive data and maintaining compliance with privacy laws and regulations. -
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Privacy1
Privacy1
Privacy1 infrastructure brings transparency, safeguards GDPR | CCPA compliance, builds trust for your business. The solution shields your data centric organizations, lower data leak risks, ensures that no personal data is processed except with the right permission. The service has built in rich features you need to meet data compliance requirements and enforce your organizational data security to the highest level Lawfulness and data transparency: ✓ Consent management; ✓ Data privacy policy management; ✓ Data processing purpose management; ✓ Work flow for handling data subject access requests; ✓ Data processing activities recording | Data mapping; Data security protection: ✓ Data Pseudonymization in services with database; ✓ Data Pseudonymization in pipelines; ✓ Data permission governing; ✓ Data access control work flow (Tech | Legal | Actual data usage); ✓ Data usage separation in micro-services; ✓ Data risk analysis; ✓ Data protection impact assessmenStarting Price: $159 per month -
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Mimic
Facteus
Advanced technology and services to safely transform and enhance sensitive data into actionable insights, help drive innovation, and open new revenue streams. Using the Mimic synthetic data engine, companies can safely synthesize their data assets, protecting consumer privacy information from being exposed, while still maintaining the statistical relevancy of the data. The synthetic data can then be used for internal initiatives like analytics, machine learning and AI, marketing and segmentation activities, and new revenue streams through external data monetization. Mimic enables you to safely move statistically-relevant synthetic data to the cloud ecosystem of your choice to get the most out of your data. Analytics, insights, product development, testing, and third-party data sharing can all be done in the cloud with the enhanced synthetic data, which has been certified to be compliant with regulatory and privacy laws. -
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Adaptive
Adaptive
Adaptive is a data security platform designed to prevent sensitive data exposure across all human and non-human entities. It offers a secure control plane to protect and access data, featuring an agentless architecture that requires zero network reconfiguration and can be deployed in the cloud or on-premises. The platform enables organizations to share privileged access to data sources without sharing actual credentials, enhancing security posture. It supports just-in-time access to various data sources, including databases, cloud infrastructure resources, data warehouses, and web services. Adaptive also facilitates non-human data access by connecting third-party tools or ETL pipelines through a central interface without exposing data source credentials. To minimize data exposure, the platform provides data masking and tokenization for non-privileged users without altering access workflows. Comprehensive audibility is achieved through identity-based audit trails across all resources. -
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PHEMI Health DataLab
PHEMI Systems
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. 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. -
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Benerator
Benerator
Describe your data model on an abstract level in XML. Involve your business people as no developer skills are necessary. Use a wide range of function libraries to fake realistic data. Write your own extensions in Javascript or Java. Integrate your data processes into Gitlab CI or Jenkins. Generate, anonymize, and migrate with Benerator’s model-driven data toolkit. Define processes to anonymize or pseudonymize data in plain XML on an abstract level without the need for developer skills. Stay GDPR compliant with your data and protect the privacy of your customers. Mask and obfuscate sensitive data for BI, test, development, or training purposes. Combine data from various sources (subsetting) and keep the data integrity. Migrate and transform your data in multisystem landscapes. Reuse your testing data models to migrate production environments. Keep your data consistent and reliable in a microsystem architecture. -
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Imperva Data Security Fabric
Imperva
Protect data at scale with an enterprise-class, multicloud, hybrid security solution for all data types. Extend data security across multicloud, hybrid, and on-premises environments. Discover and classify structured, semi-structured, & unstructured. Prioritize data risk for both incident context and additional data capabilities. Centralize data management via a single data service or dashboard. Protect against data exposure and avoid breaches. Simplify data-centric security, compliance, and governance. Unify the view and gain insights to at-risk data and users. Supervise Zero Trust posture and policy enforcement. Save time and money with automation and workflows. Support for hundreds of file shares and data repositories including public, private, datacenter and third-party cloud services. Cover both your immediate needs & future integrations as you transform and extend use cases in the cloud. -
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Data Secure
EPI-USE
Protect your sensitive SAP data. Solve your SAP data security challenges and comply with data privacy legislation such as the EU's. General Data Protection Regulation (GDPR), South Africa's POPI Act and the California Consumer Privacy Act of 2018 (CCPA) with Data Secure™. Data security is critical in today's business environment. Data Secure™, part of EPI-USE Labs' Data Sync Manager™ (DSM) suite, solves your data security challenges. Data Secure is a comprehensive protection solution that comes with pre-defined masking rules. With these rules you can scramble any non-key field in any client-dependent SAP table in a number of different ways (such as mapping table look-up, constant value, clear a field). You can also extend these rules to cover your own particular security needs. Data Secure enables your company to meet all well-known data privacy and protection standards such as the General Data Protection Regulation (GDPR), Sarbanes Oxley and the BDSG (Bundesdatenschutzgesetz). -
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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. -
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Mage Dynamic Data Masking
Mage Data
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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Statice
Statice
We offer data anonymization software that generates entirely anonymous synthetic datasets for our customers. The synthetic data generated by Statice contains statistical properties similar to real data but irreversibly breaks any relationships with actual individuals, making it a valuable and safe to use asset. It can be used for behavior, predictive, or transactional analysis, allowing companies to leverage data safely while complying with data regulations. Statice’s solution is built for enterprise environments with flexibility and security in mind. It integrates features to guarantee the utility and privacy of the data while maintaining usability and scalability. It supports common data types: Generate synthetic data from structured data such as transactions, customer data, churn data, digital user data, geodata, market data, etc We help your technical and compliance teams validate the robustness of our anonymization method and the privacy of your synthetic dataStarting Price: Licence starting at 3,990€ / m -
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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 -
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IRI DMaaS
IRI, The CoSort Company
Data may be the most important asset, and risk, that your company holds. It describes customers, products, transaction histories, and everything else that you use and plan in business. This data can be in databases, files, spreadsheets, Hadoop, cloud platforms or apps. If you don't have the time or expertise to find and de-identify the personally identifiable information (PII) in those sources yourself, IRI Data Masking as a Service (DMaaS) can help. With IRI DMaaS, you can minimize risk and cost because you only pay for the data you need protected. IRI can do all, or some, of the work to classify, find, and mask that data. IRI can also provide your auditors with the logs and targets that verify that your sensitive data was protected and now complies with privacy laws. To facilitate the service, you can transfer unprotected data to a secure on-premise or cloud-based staging area, or provide remote, supervised access to IRI to the data sources(s) at issue under a strict NDA.Starting Price: $1000 per day -
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DataCebo Synthetic Data Vault (SDV)
DataCebo
The Synthetic Data Vault (SDV) is a Python library designed to be your one-stop shop for creating tabular synthetic data. The SDV uses a variety of machine learning algorithms to learn patterns from your real data and emulate them in synthetic data. The SDV offers multiple models, ranging from classical statistical methods (GaussianCopula) to deep learning methods (CTGAN). Generate data for single tables, multiple connected tables, or sequential tables. Compare the synthetic data to the real data against a variety of measures. Diagnose problems and generate a quality report to get more insights. Control data processing to improve the quality of synthetic data, choose from different types of anonymization, and define business rules in the form of logical constraints. Use synthetic data in place of real data for added protection, or use it in addition to your real data as an enhancement. The SDV is an overall ecosystem for synthetic data models, benchmarks, and metrics.Starting Price: Free -
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Oracle Data Safe
Oracle
Data Safe is a unified control center for your Oracle Databases which helps you understand the sensitivity of your data, evaluate risks to data, mask sensitive data, implement and monitor security controls, assess user security, monitor user activity, and address data security compliance requirements. Whether you’re using Oracle Autonomous Database. Oracle Database Cloud Service (exadata, virtual machine, or bare metal), or Oracle Databases on-premises in your own data center, Data Safe delivers essential data security capabilities that help you reduce risk and improve security. Assess user risk by highlighting critical users, roles and privileges. Configure audit policies and collect user activity to identify unusual behavior. Discover sensitive data and understand where it is located. Remove risk from non-production data sets by masking sensitive data. -
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TestBench for IBM i
Original Software
Testing and test data management for IBM i, IBM iSeries, AS/400. Complex IBM i applications must be checked from top to bottom, right into the data, wherever it is. TestBench IBM i is a comprehensive, proven test data management, verification and unit testing solution that integrates with other solutions for total application quality. Stop copying the entire live database and hone in on the data you really need. Select or sample data with full referential integrity preserved. Simply decide which fields need to be protected and use a variety of obfuscation methods to protect your data. Track every insert, update and delete including intervening data states. Create rules so that data failures are flagged to you automatically. Avoid the painful save/restores and stop attempting to explain bad test results based on poor initial data. Comparing outputs is a well proven method to verify your test results but it can be laborious and prone to error. This unique solution can save hours.Starting Price: $1,200 per user per year -
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YData
YData
Adopting data-centric AI has never been easier with automated data quality profiling and synthetic data generation. We help data scientists to unlock data's full potential. YData Fabric empowers users to easily understand and manage data assets, synthetic data for fast data access, and pipelines for iterative and scalable flows. Better data, and more reliable models delivered at scale. Automate data profiling for simple and fast exploratory data analysis. Upload and connect to your datasets through an easily configurable interface. Generate synthetic data that mimics the statistical properties and behavior of the real data. Protect your sensitive data, augment your datasets, and improve the efficiency of your models by replacing real data or enriching it with synthetic data. Refine and improve processes with pipelines, consume the data, clean it, transform your data, and work its quality to boost machine learning models' performance. -
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Rectify
Rectify
Automating privacy with secure redaction for document distribution. 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. Our experts have protected tens of millions of pages, and counting. Automating data protection with "privacy-enabled AI" deidentification. Break free from manual redaction with Rectify's secure AI redaction. The consequences of sharing sensitive information without using a secure redaction tool can be daunting. Rectify provides a complete end-to-end solution for your redaction needs. Choosing the right redaction service is crucial to the security and privacy of your business. Automate privacy with Rectify's secure redaction.Starting Price: $49.99 per user per month -
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Protect your file and database data from misuse and help comply with industry and government regulations with this suite of integrated encryption products. 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. Guardium Data Encryption's capabilities—such as data access audit logging, tokenization, data masking and key management—help meet regulations such as HIPAA, CCPA or GDPR.
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Improve the way you manage, protect and store data, with unlimited access to select IBM SDS products and IBM Cloud®Object Storage. IBM Storage Software Suite provides a unified interface that streamlines data management, and cost-per-TB pricing makes it easier to plan as your capacity grows. Non-production use of the software in test environments is included. Straightforward per-TB pricing for the entire suite is related to the amount of storage capacity, not the type of storage or how it is used. There are no licensing headaches when changing from one type of storage to another or from one data type to another. All the IBM Storage Software Suite products share a consistent user interface, reducing user errors and the need for training. All the products are designed to work together, streamlining integration and worldwide support for the complete solution.
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TCS MasterCraft DataPlus
Tata Consultancy Services
The users of data management software are primarily from enterprise business teams. This requires the data management software to be highly user-friendly, automated and intelligent. Additionally, data management activities must adhere to various industry-specific and data protection related regulatory requirements. Further, data must be adequate, accurate, consistent, of high quality and securely accessible so that business teams can make informed and data-driven strategic business decisons. Enables an integrated approach for data privacy, data quality management, test data management, data analytics and data modeling. Efficiently addresses growing volumes of data efficiently, through service engine-based architecture. Handles niche data processing requirements, beyond out of box functionality, through a user-defined function framework and python adapter. Provides a lean layer of governance surrounding data privacy and data quality management. -
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GenRocket
GenRocket
Enterprise synthetic test data solutions. In order to generate test data that accurately reflects the structure of your application or database, it must be easy to model and maintain each test data project as changes to the data model occur throughout the lifecycle of the application. Maintain referential integrity of parent/child/sibling relationships across the data domains within an application database or across multiple databases used by multiple applications. Ensure the consistency and integrity of synthetic data attributes across applications, data sources and targets. For example, a customer name must always match the same customer ID across multiple transactions simulated by real-time synthetic data generation. Customers want to quickly and accurately create their data model as a test data project. GenRocket offers 10 methods for data model setup. XTS, DDL, Scratchpad, Presets, XSD, CSV, YAML, JSON, Spark Schema, Salesforce.
