Granted Patent B2

US 12,411,684 · App. 18/790,097 · Granted Sep 9, 2025

Inventors: Taher Vohra (Sunnyvale, CA); Virendra Prakashaiah (Sunnyvale, CA); Luis Pablo Pabón (Sturbridge, MA)

Assignee: Pure Storage, Inc.

G06F8/71G06F8/36

Abstract

Claims (41)

1. A method comprising:

determining, by a monitoring system based on an attribute model of a dataset stored within a storage system, that one or more data items in the dataset are noncompliant with a compliance ruleset, wherein one or more data attributes of a data item in the dataset includes one or more of a data type of the data item, an encryption information of the data item, an accessibility of the data item, a retention policy of the data item, or an operation log configuration associated with the data item;

determining, by the monitoring system based on the one or more data items being noncompliant with the compliance ruleset, a compliance level of the dataset with the compliance ruleset; and

performing, by the monitoring system based on the compliance level of the dataset satisfying a compliance level threshold, an operation with respect to the dataset.

2. The method of claim 1 , wherein:

the attribute model is generated by scanning the dataset.

3. The method of claim 1 , wherein:

the determining of the compliance level of the dataset is performed in response to detecting that a previous compliance ruleset is modified into the compliance ruleset.

4. The method of claim 1 , further comprising:

generating, by the monitoring system, the attribute model.

5. The method of claim 4 , wherein:

the generating of the attribute model is performed by scanning the dataset when the dataset is ingested into the storage system.

6. The method of claim 4 , wherein the generating of the attribute model includes:

determining, using a machine learning model, one or more data attributes of the one or more data items in the dataset.

7. The method of claim 1 , wherein the performing the operation comprises presenting a noncompliance notification associated with the dataset.

8. The method of claim 1 , wherein the performing the operation comprises presenting a recommendation including one or more remedial actions to conform the dataset with the compliance ruleset.

9. The method of claim 8 , wherein the performing the operation comprises automatically performing the one or more remedial actions for the dataset.

10. The method of claim 1 , further comprising determining, by the monitoring system based on the attribute model, an additional compliance level of the dataset with an additional compliance ruleset.

11. The method of claim 10 , wherein:

the performing of the operation with respect to the dataset is further based on the additional compliance level of the dataset with the additional compliance ruleset.

12. A system comprising:

a memory storing instructions; and

a processor communicatively coupled to the memory and configured to execute the instructions to perform a process comprising:

determining, based on an attribute model of a dataset stored within a storage system, that one or more data items in the dataset are noncompliant with a compliance ruleset, wherein one or more data attributes of a data item in the dataset includes one or more of a data type of the data item, an encryption information of the data item, an accessibility of the data item, a retention policy of the data item, or an operation log configuration associated with the data item;

determining, based on the one or more data items being noncompliant with the compliance ruleset, a compliance level of the dataset with the compliance ruleset; and

performing, based on the compliance level of the dataset satisfying a compliance level threshold, an operation with respect to the dataset.

13. The system of claim 12 , wherein:

the attribute model is generated by scanning the dataset.

14. The system of claim 12 , wherein:

the determining of the compliance level of the dataset is performed in response to detecting that a previous compliance ruleset is modified into the compliance ruleset.

15. The system of claim 12 , wherein the process further comprises generating the attribute model.

16. The system of claim 15 , wherein:

the generating of the attribute model is performed by scanning the dataset when the dataset is ingested into the storage system.

17. The system of claim 15 , wherein the generating of the attribute model includes:

determining, using a machine learning model, one or more data attributes of the one or more data items in the dataset.

18. The system of claim 12 , wherein the performing the operation comprises presenting a noncompliance notification associated with the dataset.

19. The system of claim 12 , wherein the performing the operation comprises presenting a recommendation including one or more remedial actions to conform the dataset with the compliance ruleset.

20. A non-transitory computer-readable medium storing instructions that, when executed, direct a processor of a computing device to perform a process comprising:

determining, based on an attribute model of a dataset stored within a storage system, that one or more data items in the dataset are noncompliant with a compliance ruleset, wherein one or more data attributes of a data item in the dataset includes one or more of a data type of the data item, an encryption information of the data item, an accessibility of the data item, a retention policy of the data item, or an operation log configuration associated with the data item;

determining, based on the one or more data items being noncompliant with the compliance ruleset, a compliance level of the dataset with the compliance ruleset; and

performing, based on the compliance level of the dataset satisfying a compliance level threshold, an operation with respect to the dataset.

Assignments (1)

Continuity (3)

References Cited (18)