NLP-ASSISTED AUTOMATIC ASSIGNMENT OF DATA PROTECTION POLICIES BASED ON USER INTENTIONS

• US 20200134197A1
• Filed: 10/25/2018
• Published: 04/30/2020
• Est. Priority Date: 10/25/2018
• Status: Active Grant

• Current Assignee: Emc IP Holding Company LLC (Dell Technologies Inc.)
• Original Assignee: Emc IP Holding Company LLC (Dell Technologies Inc.)
• Inventors: Saad, Yossef, Natanzon, Assaf
• Granted Patent: US 11,106,803 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 21/60 Protecting data
• CPC Class Codes: G06F 21/604 Tools and structures for managing or administering access control systems
• CPC Class Codes: G06F 40/247 Thesauruses; Synonyms
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: G06V 30/36 Matching; Classification
• CPC Class Codes: G10L 15/1822 Parsing for meaning understanding
• CPC Class Codes: G10L 15/26 Speech to text systems G10L15/08 takes precedence

Abstract

One example method includes receiving user input concerning a data protection policy for an entity, where the user input is in the form of written input and/or audio input, when the user input comprises audio input, translating the audio input into text, determining an intention of the user with respect to data protection for the entity by translating the text to common terms by interpreting terms of the text that have the same meaning as being similar words and applying context to the words, identifying a data protection policy that best corresponds to the intention of the user concerning data protection for the entity, and applying the data protection policy to the entity.

Claims

1. A method, comprising:

receiving user input concerning data protection for an entity, wherein the user input is in the form of written input and/or audio input;

when the user input comprises audio input, translating the audio input into text;

determining an intention of the user with respect to data protection for the entity by;

translating the text to common terms by interpreting terms of the text that have the same meaning as being similar words; and

applying context to the words;

identifying a data protection policy that best corresponds to the intention of the user concerning data protection for the entity; and

applying the data protection policy to the entity so that the entity is protected as provided by the data protection policy.

2. The method as recited in claim 1, wherein application of the data protection policy to the entity is performed automatically.

3. The method as recited in claim 1, wherein when the user input comprises written input, the method further comprises translating the written input into text.

4. The method as recited in claim 1, wherein identifying the data protection policy comprises cross-referencing the intention of the user, as captured in the user input, with one or more of a company policy, a repository of regulatory policies, or a repository of industry best practices.

5. The method as recited in claim 1, wherein determination of the intention of the user with respect to data protection for the entity is performed automatically.

6. The method as recited in claim 1, wherein determination of the intention of the user with respect to data protection for the entity is performed by one or more of natural language processing, natural language understanding, or artificial intelligence.

7. The method as recited in claim 1, further comprising receiving input concerning a definition of the entity.

8. The method as recited in claim 1, wherein the user input comprises (i) input concerning the purpose of the entity and/or (ii) input concerning the relative importance of the entity.

9. The method as recited in claim 1, further comprising automatically assigning the data protection policy to the entity.

10. The method as recited in claim 1, further comprising modifying or deleting a data protection policy, based on additional user input.

15. The non-transitory storage medium as recited in claim 1, wherein determination of the intention of the user with respect to data protection for the entity is performed automatically.

19. The non-transitory storage medium as recited in claim 1, wherein the operations further comprise automatically assigning the data protection policy to the entity.

11. A non-transitory storage medium having stored therein computer-executable instructions which, when executed by one or more hardware processors, perform the following operations:

receiving user input concerning data protection for an entity, wherein the user input is in the form of written input and/or audio input;

when the user input comprises audio input, translating the audio input into text;

determining an intention of the user with respect to data protection for the entity by;

translating the text to common terms by interpreting terms of the text that have the same meaning as being similar words; and

applying context to the words;

identifying a data protection policy that best corresponds to the intention of the user concerning data protection for the entity; and

applying the data protection policy to the entity so that the entity is protected as provided by the data protection policy.

12. The non-transitory storage medium as recited in claim 11, wherein application of the data protection policy to the entity is performed automatically.

13. The non-transitory storage medium as recited in claim 11, wherein the method further comprises translating the written input into text.

14. The non-transitory storage medium as recited in claim 11, wherein identifying the data protection policy comprises cross-referencing the intention of the user, as captured in the user input, with one or more of company policy, a repository of regulatory policies, or a repository of industry best practices.

16. The non-transitory storage medium as recited in claim 11, wherein determination of the intention of the user with respect to data protection for the entity is performed by one or more of natural language processing, natural language understanding, or artificial intelligence.

17. The non-transitory storage medium as recited in claim 11, wherein the operations further comprise receiving input concerning a definition of the entity.

18. The non-transitory storage medium as recited in claim 11, wherein the user input comprises (i) input concerning the purpose of the entity and/or (ii) input concerning the relative importance of the entity.

20. A physical computing system, comprising:

one or more hardware processors; and

the non-transitory storage medium as recited in claim 11, wherein the operations further comprise assigning the data protection policy to the entity, and assignment of the data protection policy and application of the protection policy, are performed automatically.