Meets the broad range of demands across application owners, infrastructure and operations, developers, testers, QA, and compliance teams.
Automate the identification of sensitive data locations for consistent masking within and across databases.
Leverage a pre-defined, customizable library of masking functions to protect sensitive data elements including PII, PHI and PCI.
Create synthetic data to fill gaps where production data cannot be used or doesn’t exist.
Provision smaller datasets based on test plan requirements. Minimize infrastructure requirements and speed performance.
Connect to a wide range of distributed and mainframe data sources from a single management platform.
Support for packaged applications to ensure application integrity and speed deployments.
Engage compliance, risk, and audit teams to ensure ongoing alignment with data governance initiatives.
Protects sensitive nonproduction data and ensures data privacy by creating masked data for development, testing, and training.
Automates the creation of synthetic, yet realistic, data when production data can't be used in test and development environments.
Automates the creation of smaller copies of production data in test and development environments.
Lets you minimize the risk of potential test data breaches while reducing costs.
Vale delivered archived data compression rates averaging 95 percent, and saved $1 million annually in storage costs
Hot Telecommunication quickly gained compliance with regulations and accelerated development of telecom solutions