Best Data Masking Software for Teradata Vantage

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.

We make BI and Big Data analytics easier and more efficient. Our goal is to empower business users, make BI specialists and always-busy business more independent when solving data-driven business problems. Querona is a solution for those who have ever been frustrated by a lack in data, slow or tedious report generation, or a long queue to their BI specialist. Querona has a built-in Big Data engine that can handle increasing data volumes. Repeatable queries can be stored and calculated in advance. Querona automatically suggests improvements to queries, making optimization easier. Querona empowers data scientists and business analysts by giving them self-service. They can quickly create and prototype data models, add data sources, optimize queries, and dig into raw data. It is possible to use less IT. Users can now access live data regardless of where it is stored. Querona can cache data if databases are too busy to query live.

Assure Compliance Monitoring is a bundle that includes Assure Security features. They can be used together to quickly identify security and compliance problems by producing alerts, reports, and reports on IBM system activity, database changes, and views of Db2 information. Two features are also included in the bundle, which can be purchased separately. Assure Monitoring & Reporting seamlessly extracts insights directly from IBM i journal data, and generates alerts and reports about security incidents and compliance deviations. You can use the system and database monitoring capabilities separately or together. You can also send data directly to your enterprise SIEM software, allowing IBM security to be monitored on all enterprise platforms. Assure Db2 Security Monitor is an innovative solution that monitors Db2 data views and blocks records. Assure Security offers market-leading IBM i security capabilities that will help you and your organization comply with cybersecurity regulations.

Secure sensitive data wherever it flows - on premises, in the cloud and in big data analytics platforms. Voltage encryption provides data privacy protection and neutralizes data breaches. It also drives business value through secure data usage. Data protection builds customer trust, and enables compliance with global regulations such as GDPR, CCPA and HIPAA. Privacy regulations recommend anonymization, pseudonymization and encryption to protect personal data. Voltage SecureData allows enterprises to de-identify structured data and supports the use of data within its protected state to safely drive business value. Secure data flows through your enterprise without gaps, encryption, or overhead. SecureData supports a wide range of platforms and encrypts data using any language. Structured Data Manager integrates SecureData to allow businesses to easily and continuously protect data all through its lifecycle, from discovery through encryption.

You have the freedom to choose the anonymization method that best suits your needs - including tokenization, encryption, and masking techniques. This will ensure that sensitive data is protected in a delicate balance between security and performance. You can choose from over 60 different anonymization methods to protect sensitive data. Anonymization methods that provide consistent results across datastores and applications will help you maintain referential integrity. Anonymization methods that provide both performance and protection. You can choose to encrypt, tokenize or mask data depending on the use case. There are many ways to anonymize sensitive data. Each method provides adequate security and data usability. Protect sensitive data across data storage and applications, and maintain referential integrity. You can choose from a range of NIST-approved encryption or tokenization algorithms.

iMask protects sensitive data at the Application Layer as well as the Database Layer. It offers flexible solutions that can be used for all types of use and all users, small, medium and large. Mask sensitive data at both the application and database levels to ensure your data's protection in production. You can set up rules in the product UI to allow role-based and user-based access controls that control who can access your sensitive information. You have the option to choose from more than 40 anonymization methods to maintain data consistency between production and nonproduction instances. You can set authorization rules to restrict who can see sensitive data based on geography, roles, departments, and other factors. Secure anonymization protocols can be enabled without affecting performance. Database embedded approach allows data to be deidentified without any changes in the application architecture or security protocols.