Dynamic Data Masking

If you love reading blogs, database news threads, tweets or listening to podcasts of best data handlers of all times, then you must have heard about data masking or data obfuscation. It’s the process of hiding original data using random data or characteristics. It involve crafting of analogous but inauthentic data version of an organization’s data for user training and software testing purposes.  Most likely, you have also heard about Dynamic Data Masking (DDM) which delivers high-throughput as well as low-latency performance incapable of impacting user experience. This article outlines how dynamic data masking works.


How it works

Dynamic Data Masking works in a unification with database application in real-time for the unauthorized users not to see the real column values. It’s called dynamic because the masking is triggered dynamically. When the user requests for data, their session info and credentials are scrutinized by the platform that masks. Legal users receive unhidden (unmasked) production data, while those with no authorization for such sensitive information or use unauthorized applications to access the data will receive the hidden (masked) data. The type of data provided is dynamically determined in real time. However, the measures for presenting the hidden data must always be specified in time and alerts may be transmitted whenever the masked data is prompted.

Basically, DDM bars unofficial users from logging on sensitive info and data with concurrent de-sensitization & de-identification of data. Database and IT organizations can make the most of this couth masking technique to limit access of their sensitive data with supple data masking guidelines based on user’s substantiation level.

Auditing, alerting and blocking your users, outsourced teams and IT personnel who have access to sensitive data and information, guarantees compliance with security policies and industry as well as civil privacy regulations. With DDM, data privacy and security for data use by both line of business and mission-critical applications is guaranteed.

Dynamic Data Masking allows you to theatrically reduce the risk of data fissure or breach, easily tailor the data masking way-outs for various regulatory or business needs, safe guard sensitive and personal information and supporting sourcing, offshoring as well as cloud-based edges and protect big data through dynamic masking of sensitive data in a Hadoop.

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