A single solution to identify, track, protect and monitor your data across multiple data platforms and environments within your enterprise.
A rising number of global privacy regulations require organizations to enact measures to protect sensitive data and respond to data subject rights requests. With an integrated platform that secures sensitive data across its lifecycle, Mage Data enables enterprises to focus on their strengths without any distractions on the data security and data privacy front. With Mage Data, organizations can:
Performing secure analytics on data requires that the data to retain its value, while minimizing the risk of sensitive data exposure. With state-of-the-art anonymization techniques, Mage enables organizations to extract value from their data without compromising on security. The Mage solution for Responsible Analytics provides organizations the ability to:
Global privacy regulations and local data sharing laws restrict sharing of sensitive data by enterprises across geographical borders. Mage Data’s industry leading solution for Cross-Border Data Sharing helps organizations enable operational cost savings by outsourcing their development and testing requirements to other geographies without worrying about sensitive data leaving their data stores. With Mage Data, organizations can:
Testing software for bugs or issues has gained more prominence in the recent years with the rapid pace of development and launch of new applications. To test effectively, it is imperative to obtain test data that is representative of production data yet anonymized to avoid unnecessary exposure to any inherent sensitive data and easily accessible or deliverable to testing times. This prevents unwanted bottlenecks in the testing process and thereby makes the rollout of new applications smoother. All above mentioned features are covered under the domain of Test Data Management.
Test Data Management serves a critical function in the application development and testing lifecycle. With the increasing adoption of Agile Development methodologies in traditional software development pipelines, the consequences of improper testing can mean the occurrence of more bugs in production, applications failing to meet regulatory compliance and privacy rules, higher testing and development costs leading to a negative impact on performance with the bad press and potential revenue loss that follows.
A good TDM solution will ensure complete & accurate discovery of any sensitive data contained within the database, ensure flexible & consistent anonymization of production data, provide scalable delivery options and enterprise-wide deployment with transparent governance of the processes involved.