Dathena
In today’s security-conscious world, companies face a tough job trying to protect their information and data. Very often, they do not even know what data they possess or where it is stored. And if they do know, there is a significant chance that a lot of it is stored on networks that are neither structured nor secure.
Christopher Muffat, founder and CEO of Dathena, made this discovery when working in the information and risk management sector of the banking industry several years ago. This led to the development of data classification and protection solutions for his then-employer Barclays, and subsequently to the founding of Dathena in early 2017. Over the past two years the startup has grown from four to 45 employees, in Europe and Singapore, over half of whom are data scientists working on the algorithms that drive Dathena’s solutions.
The algorithms are able to find where companies’ documents are stored – on corporate networks and elsewhere – class them according to context and how they should be secured, ensure that they are compliant with local data regulations and prevent them from being leaked or stolen. “We always have the end-user in mind”, says Christopher. “Our aim is to work behind the scenes to make data classification and security a natural, automatic part of employees’ day-to-day work, rather than a hindrance to creating real value.”
Its integration into startup incubator Station F has allowed Dathena to accelerate its growth into the European market, and the company hopes that VivaTech will further increase its visibility and bolster its search for industrial partners. Those companies include Thales, whose cybersecurity expertise and ecosystem makes it a perfect fit for Dathena in its quest to develop and extend its activities and solutions into other markets.
Linkedin : https://www.linkedin.com/company/dathena-science/