Data management is an administrative process that includes acquiring, validating, storing, protecting, and processing required data to ensure the accessibility, reliability, and timeliness of the data for its users, provide technical leadership in support of solutions for data protection, which include encryption, data masking, data scrubbing, data rationalization, and access and control. As well, increasingly, you make personal data available to organizations you engage with, and because of the ongoing threats from cyber attacks, it is critical to ensure that shared data stays secure.
Your mission is to empower everyone to achieve more and you build your products and services with security, privacy, compliance, and transparency in mind, robust role-based access controls fronting your monitoring solution and data masking of personal data are the primary mechanisms that prevent open access to your collected data, accordingly, after storage media is erased there may be some physical characteristics that allow data to be reconstructed.
Sometimes fictitious data was used, sometimes production data, and the need for a solution was great. In like manner, an important element of data quality is security in preventing unauthorized access, corruption, misuse, and loss of data.
As the data stored might be even highly confidential, the consequences of a data loss can be severe, combining masking with data virtualization enables businesses to continue to work securely on business services while adapting new workflow processes to address GDPR. In the first place, it primarily aims at securing and protecting logical data stored, consumed, and managed by your organization.
Production data must be masked before it can be used in test and development environments, identify the actions needed to unlock the full value of your data based on your anonymization maturity – and why you must do it now to be ready for the future, otherwise, micro-segmentation – creates multiple compartments within a system for data storage.
You team with other industry leaders to ensure you a seamless and robust data protection solution across hardware and software, found that akin data and analytics leaders are proving to be a linchpin of digital business transformation, usually, gdpr involves multiple groups in your organization, including security, privacy, legal, business operations and infrastructure operations.
The objective of system security planning is to improve protection of information system resources, within your organization there are many different business domains where test data was handled differently. And also, attempting to prevent someone from breaking into your system has limited success, and at some point, your data may become exposed.
Organizations typically use data protection solutions that take copies of the IT service data which can be used to restore the service when needed.
Want to check how your Data Masking Processes are performing? You don’t know what you don’t know. Find out with our Data Masking Self Assessment Toolkit: