Method of identifying and tracking sensitive data and system thereof

A method of identifying sensitive data (SD) from amongst data stored on one or more data repositories, the method provided by a processor and memory block operatively coupled to the one or more data repositories and comprising:

• processing the data from the one or more data repositories to calculate a plurality of float feature (FF) vectors associated with the data, each FF vector associated with a file of said data and comprising a plurality of floating point numbers calculated in accordance with the binary content of said file;
• clustering the plurality of FF vectors into a plurality of clusters, each cluster associated with a respective subset of the data being the data in respect of which the FF vectors in the cluster were calculated;
• generating, for each cluster, a DNA vector representative of the cluster;
• comparing the DNA vectors of respective clusters to one or more FF vectors calculated for a respective one or more examples of SD;
• and
• classifying one or more clusters as SD based on the result of said comparing, thereby identifying respective subsets of data as SD.

A system capable of identifying sensitive data (SD) from amongst data stored on one or more data repositories, the system comprising a processor and memory block operatively coupled to the one or more data repositories, wherein the processor and memory block is configured to:

• process the data from the one or more data repositories to calculate a plurality of float feature (FF) vectors associated with the data, each FF vector associated with a file of said data and comprising a plurality of floating point numbers calculated in accordance with the binary content of said file;
• cluster the plurality of FF vectors into a plurality of clusters, each cluster associated with a respective subset of the data being the data in respect of which the FF vectors in the cluster were calculated;
• generate, for each cluster, a DNA vector representative of the cluster;
• compare the DNA vectors of respective clusters to one or more FF vectors calculated for a respective one or more examples of SD;
• and
• classify one or more clusters as SD based on the result of said comparing, thereby identifying respective subsets of data as SD.

A non-transitory storage medium comprising instructions that when executed by a processor and memory block, cause the processor and memory block to perform a method of identifying sensitive data (SD) from amongst data stored on one or more data repositories, the method comprising:

• processing the data from the one or more data repositories to calculate a plurality of float feature (FF) vectors associated with the data, each FF vector associated with a file of said data and comprising a plurality of floating point numbers calculated in accordance with the binary content of said file;
• clustering the plurality of FF vectors into a plurality of clusters, each cluster associated with a respective subset of the data being the data in respect of which the FF vectors in the cluster were calculated;
• generating, for each cluster, a DNA vector representative of the cluster;
• comparing the DNA vectors of respective clusters to one or more FF vectors calculated for a respective one or more examples of SD;
• and
• classifying one or more clusters as SD based on the result of said comparing, thereby identifying respective subsets of data as SD.