Automated system to classify, monitor, and protect sensitive data and provide regulation compliance

1 . A system to provide connections to use artificial intelligence to discover, classify and protect data on network devices, comprising:

a processor coupled to a storage device, wherein the processor executes application code instructions that are stored in the storage device to cause the system to:

receive data associated with one or more network devices of a network system;

use artificial intelligence to analyze the data to identify sensitive data;

use artificial intelligence to validate the identified sensitive data;

use artificial intelligence to match sensitive data with regulated data;

use artificial intelligence to classify files to international standard labels;

use artificial intelligence to train on classified data with custom labels;

use artificial intelligence to classify data with the custom labels; and

use artificial intelligence to suggest security policies based on the classified data.

2 . The system of claim 1 , further comprising application code instructions to cause the system to display a graphical user interface representing one or more security alerts for the one or more network devices of the network system.

3 . The system of claim 2 , wherein the graphical user interface indicates the one or more security alerts for each of the one or more network devices of the network system based on a color or other visual indicator.

4 . The system of claim 2 , wherein the one or more security alerts are based on the sensitive data, the regulated data, and the classified data.

5 . The system of claim 1 , wherein the artificial intelligence used to identify sensitive data and matched regulated data is performed with a deep learning model.

6 . The system of claim 5 , further comprising application code instructions to generate an intermediate representation of the classified data, the intermediate representation only readable by the deep learning model.

7 . The system of claim 1 , wherein validating the identified sensitive data reduces false positive sensitive data results.

8 . The system of claim 1 , further comprising application code instructions to cause the system to build a graph of identified sensitive data, matched regulation data, and classified data.

9 . A method to use artificial intelligence to discover, classify and protect data on network devices, comprising:

by one or more computing devices:

receiving data associated with one or more network devices of a network system;

using artificial intelligence to analyze the data to identify sensitive data;

using artificial intelligence to validate the identified sensitive data;

using artificial intelligence to match sensitive data with regulated data;

using artificial intelligence to classify files to international standard labels;

using artificial intelligence to train on classified data with custom labels;

using artificial intelligence to classify data with the custom labels; and

using artificial intelligence to suggest security policies based on the classified data.

10 . The method of claim 9 , further comprising displaying a graphical user interface representing one or more security alerts for the one or more network devices of the network system.

11 . The method of claim 10 , wherein the graphical user interface indicates the one or more security alerts for each of the one or more network devices of the network system based on a color or other visual indicator.

12 . The method of claim 10 , wherein the one or more security alerts are based on the sensitive data, the regulated data, and the classified data.

13 . The method of claim 9 , wherein the artificial intelligence used to identify sensitive data and matched regulated data is performed with a deep learning model.

14 . The method of claim 13 , further comprising generating an intermediate representation of the classified data, the intermediate representation only readable by the deep learning model.

15 . The method of claim 9 , wherein validating the identified sensitive data reduces false positive sensitive data results.

16 . The method of claim 9 , further comprising building a graph of identified sensitive data, matched regulation data, and classified data.

17 . A computer program product, comprising:

a non-transitory computer-readable medium having computer-readable program instructions embodied thereon, the computer-readable program instructions comprising computer-readable program instructions to:

receive data associated with one or more network devices of a network system;

use artificial intelligence to analyze the data to identify sensitive data;

use artificial intelligence to validate the identified sensitive data;

use artificial intelligence to match sensitive data with regulated data;

use artificial intelligence to classify files to international standard labels;

use artificial intelligence to train on classified data with custom labels;

use artificial intelligence to classify data with the custom labels; and

use artificial intelligence to suggest security policies based on the classified data.

18 . The computer program product of claim 17 , further comprising computer-readable program instructions to cause the system to display a graphical user interface representing one or more security alerts for the one or more network devices of the network system.

19 . The computer program product of claim 17 , wherein the artificial intelligence to identify sensitive data and matched regulated data is performed with a deep learning model.

20 . The computer program product of claim 17 , further comprising computer-readable program instructions to cause the system to build a graph of identified sensitive data, matched regulation data, and classified data.