Ardent Privacy Granted Patent For Data Minimization Which Will Revolutionize Data Privacy Programs For Enterprises
Ardent Privacy, a Maryland-based data privacy company, announced that the U.S. Patent and Trademark Office has issued a patent for its method for performing data discovery and minimization without reading data content.
Ardent Privacy, a Maryland-based data privacy company, announced that the U.S. Patent and Trademark Office has issued a patent for its method for performing data minimization without reading data content. This strengthens Ardent’s intellectual property position and provides new stimulus to innovate data privacy and protection solutions. Ardent Privacy’s TurtleShield platform is an Machine Learning and AI-powered enterprise software platform that helps businesses discover, identify, inventory, map, minimize, and securely delete personal data. Ardent’s solution TurtleShield platform provides visibility into realistic data risk and reduces risk with sensitive data minimization turning privacy compliance into profit center.
“Data discovery is time consuming & expensive, patent innovates it with efficiency and ability to discover data at scale with an approach similar to oil drilling.” It helps reduce cost of compliance & reaching datasets which are unable to reach otherwise.” said Sameer Ahirrao,Inventor of patent.
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The “Method for performing data minimization without reading data content” is granted for its innovative and nimble method with the use of ML and AI models to discover and minimize data. The differentiating feature of Ardent is achieved by using a trained data discovery and minimization-based ML and NLP model. The method includes determining portions of the plurality of datasets based on the one or more parameters.
Sameer Ahirrao, inventor of patent and CEO of Ardent Privacy said “Data discovery is time consuming , expensive and resource intensive which is a show-stopper for companies to implement effective privacy and security with data discovery. This method innovates it with ability to discover data at scale and helps to take quick action. It will help companies reduce cost of data security & privacy compliance. It makes it possible to reach to datasets otherwise would not have been possible with traditional discovery methods.”
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