Data Masking: What data protection rights do you have?

If you have checked your compliance and audited your data, you should know what you process, on what legal grounds, who has access and understand the lifecycle of captured personal data, security and risk management leaders should ensure that data masking is part of organizations security and compliance technology portfolio and look for new opportunities to reduce data exposure. But also, overview of the right to protection of personal data, reform of rules and the data protection regulation and directive.

Thorough Databases

Thrust upon you by the increase in technology and the concomitant reduction in barriers to the theft of data as well as expansion in regulation of industry in general, data masking has become a compulsory part of virtually every business that works with sensitive data and non-production databases, it is commonly referred to as data sanitization or data masking, any person providing personal data shall have the right of access to and rectification, erasure, restriction of processing, the right to object to the processing and to the transfer of data, the right to restriction of processing and the right to object to the processing, the right to data transfer, and you should do a thorough evaluation before choosing your data masking solution.

As you have seen, the GDPR encourages organizations to implement data masking techniques to secure and protect data, either as a way to reduce the burden of legislation or as part of a solid data management strategy, finally, when rolling out data masking the last decision to be made is how to protect the seed values, or algorithms, used by the data masking tool, also, data security refers to measures taken to prevent unauthorized access to the information stored in computers and databases or on the web, and to prevent the modification or corruption of that information.

Meanwhile, data masking is mainly used for testing sensitive data for development and research purposes, through accurate user rights management and data masking methods, you can secure personally identifiable and sensitive data. In the meantime, masking is a destructive data remediation technique so it is important that you are aware that any masked data may be impossible to retrieve once it has been redacted.

Organizations are seeing the value of data masking, and many have implemented it into overall data security strategies to provide yet another critical layer, from an operational standpoint, that means a lot more than just data encryption and data masking, which is what many organizations assume end-to-end data protection is all about, for example, your data masking solutions are performed on a per-project basis, and with the help of your data experts you will custom tailored a solution that meet the project goals.

Instead, data-centric security is also about things like data discovery, data classification, access control, authentication, user and usage monitoring, and auditing, dynamic data masking helps prevent unauthorized access to sensitive data by enabling customers to designate how much of the sensitive data to reveal with minimal impact on the application layer. And also, while there are many data touch points throughout your organization that can benefit from data.

Legitimate Database

When diving into proactive database security strategy, think over sensitive data masking features as a part of multi-level database protection, by masking data, your organization can expose the data as needed to test teams or database administrators without compromising the data or getting out of compliance. Also, for many international agreements, modern data protection and privacy regulations share some common principles, like the need of a data processor to have a legitimate reason for exercising any processing activity.

Make sure you have an end-to-end view of everywhere the data comes from and everywhere it goes, it is also, important to ensure data integrity to maintain correct application behavior after masking and to ensure integrity you must consider referential data relationships. To begin with, the information age has made cybersecurity a necessity and the increase of data breaches and malware attacks have started to call for greater data protection.

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: