Enterprises are increasingly storing large volumes of unstructured data. However, irrespective of the data format or type, unstructured data is difficult to secure and control its transfer. This is a major problem due to evolving compliance policies and the need to adhere to standards such as GDPR. Through derivative data security practices, enterprises can utilize machine learning and deep learning techniques to determine and trace clones and derivatives of unstructured data across the enterprise. In this talk, Zia Babar will provide a background on data security approaches, and provide a demonstration on machine learning and deep learning techniques can be used for providing derivative data security.
Негізгі бет Derivative Data Security using AI
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