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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K2View
At K2View, we believe that every enterprise should be able to leverage its data to become as disruptive and agile as the best companies in its industry.
We make this possible through our patented Data Product Platform, which creates and manages a complete and compliant dataset for every business entity – on demand, and in real time. The dataset is always in sync with its underlying sources, adapts to changes in the source structures, and is instantly accessible to any authorized data consumer.
Data Product Platform fuels many operational use cases, including customer 360, data masking and tokenization, test data management, data migration, legacy application modernization, data pipelining and more – to deliver business outcomes in less than half the time, and at half the cost, of any other alternative.
The platform inherently supports modern data architectures – data mesh, data fabric, and data hub – and deploys in cloud, on-premise, or hybrid environments.
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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 data
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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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