Best Data De-Identification Tools for Apache Hive

Immuta's Data Access Platform is built to give data teams secure yet streamlined access to data. Every organization is grappling with complex data policies as rules and regulations around that data are ever-changing and increasing in number. Immuta empowers data teams by automating the discovery and classification of new and existing data to speed time to value; orchestrating the enforcement of data policies through Policy-as-code (PaC), data masking, and Privacy Enhancing Technologies (PETs) so that any technical or business owner can manage and keep it secure; and monitoring/auditing user and policy activity/history and how data is accessed through automation to ensure provable compliance. Immuta integrates with all of the leading cloud data platforms, including Snowflake, Databricks, Starburst, Trino, Amazon Redshift, Google BigQuery, and Azure Synapse. Our platform is able to transparently secure data access without impacting performance. With Immuta, data teams are able to speed up data access by 100x, decrease the number of policies required by 75x, and achieve provable compliance goals.

Our platform allows businesses to use data, including its application in advanced analysis, machine learning and AI, to do great things without worrying that customers, employees or intellectual property are at risk. The Protegrity Data Protection Platform does more than just protect data. It also classifies and discovers data, while protecting it. It is impossible to protect data you don't already know about. Our platform first categorizes data, allowing users the ability to classify the type of data that is most commonly in the public domain. Once those classifications are established, the platform uses machine learning algorithms to find that type of data. The platform uses classification and discovery to find the data that must be protected. The platform protects data behind many operational systems that are essential to business operations. It also provides privacy options such as tokenizing, encryption, and privacy methods.

Unlike most data management systems, PHEMI Health DataLab is built with Privacy-by-Design principles, not as an add-on. This means privacy and data governance are built-in from the ground up, providing you with distinct advantages: Lets analysts work with data without breaching privacy guidelines Includes a comprehensive, extensible library of de-identification algorithms to hide, mask, truncate, group, and anonymize data. Creates dataset-specific or system-wide pseudonyms enabling linking and sharing of data without risking data leakage. Collects audit logs concerning not only what changes were made to the PHEMI system, but also data access patterns. Automatically generates human and machine-readable de- identification reports to meet your enterprise governance risk and compliance guidelines. Rather than a policy per data access point, PHEMI gives you the advantage of one central policy for all access patterns, whether Spark, ODBC, REST, export, and more

SecuPi is a data-centric platform that provides a comprehensive security solution. It offers fine-grained control of access (ABAC), Database Activity Monitor (DAM), and de-identification through FPE encryption and masking, both physical and dynamic (RTBF). SecuPi covers a wide range of applications including packaged and home-grown, direct access tools, cloud environments, big data and cloud environments, as well as packaged and homegrown applications. One data security platform to monitor, control, encrypt and classify data across cloud & on-prem without code changes. Platform that is agile and configurable to meet current and future audit and regulatory requirements. Implementation is fast and cost-effective with no source-code changes. SecuPi’s fine-grain controls for data access protect sensitive data, so that users only see the data they are allowed to view. Seamlessly integrates with Starburst/Trino to automate data access policies and protection operations.

Syntho is typically deployed in the trusted and safe environment of our clients, so that (sensitive data) never leaves this environment. Our connectors are ready-to-use to connect you to the target environment and source data. Syntho supports 20+ database connectors, 5+ filesystems, and can connect to every leading database and filesystem. Define what type of synthetizations you want to run. Mask or synthesize values realistically. Automatically detect sensitive data types. Use and share protected data in a secure manner, while maintaining compliance and privacy.