SYSTEMS AND METHODS FOR ENRICHING AND ENHANCING CLOUD RESOURCE DATA WITH A MULTI-CLOUD GOVERNANCE PLATFORM

1 . A computerized method for explicit and implicit cloud-resource data extraction with a multi-cloud governance platform comprising:

providing a plurality of cloud resources;

automatically obtaining a cloud resource data for each cloud resource in the plurality of cloud resources;

defining a set of Cloud Operations, Security, Cost, Access, and Resource (OSCAR) cloud resources information for a plurality of explicit relationships and a plurality of implicit relationships of each cloud resource of the plurality of cloud resource;

defining a plurality of implicit relationships that are derived from a plurality of connections of each cloud resource;

obtaining a billing information of each cloud resource;

obtaining a third-party data for the cloud resource;

obtaining and associating a plurality of relevant standards, policies and regulations for each cloud resource;

obtaining one or more relevant regions and other geographical data relevant to each cloud resource; and

with the plurality of implicit relationships that are derived from a plurality of connections of each cloud resource, the billing information of each cloud resource, the third-party data for the cloud resource plurality of relevant standards, the policies and regulations for each cloud resource, and the one or more relevant regions and other geographical data relevant to each cloud resource, generating a wholistic view of each cloud resource.

2 . The method of claim 1 , wherein the step of automatically obtaining the CR data further comprises:

obtaining a cost profile list, a dependency list, and an operational profile.

3 . The method of claim 2 , wherein the CR comprises a particular workload of a client's account.

4 . The method of claim 3 , wherein a dependency is defined for a virtual machine (VM) that is using a specific data store.

5 . The method of claim 4 , wherein the OSCAR governance model augments a plurality of cloud-native governance operations.

6 . The method of claim 5 , wherein the plurality of cloud-native governance operations comprises a unified visibility and insights rule-based automation to govern the entire cloud landscape.

7 . The method of claim 6 , wherein the plurality of cloud-native governance operations comprises an automated remediation to resolve at least one governance gaps.

8 . The method of claim 7 , wherein the plurality of cloud-native governance operations comprises a quantify cloud-governance with one or more indexing and benchmarking operations for a cloud platform.

9 . The method of claim 8 , wherein the plurality of relevant standards, policies and regulations for each cloud resource further are defined by a customer.

10 . The method of claim 9 , wherein each cloud resources utilizes a specified network or connects to a specified device through a certain port.

11 . The method of claim 10 further comprising:

building a FinOps governance model based on the plurality of explicit relationships, the plurality of implicit relationships and the billing information.

12 . The method of claim 11 further comprising:

implementing a discovery for a cloud-resource account.

13 . The method of claim 12 further comprising:

utilizing one or more APIs provided by a cloud provider to obtain a cloud-resource data.

14 . The method of claim 13 , wherein the step of utilizing one or more APIs provided by a cloud provider to obtain a cloud-resource data comprises a user profile obtained via the one or more APIs and the billing data.

15 . The method of claim 12 further comprising:

obtaining a plurality of curated properties not available through APIs, wherein the plurality of curated properties is obtained by a review that generates a master data with additional curated properties about each cloud resource.

16 . The method of claim 15 , wherein each curated property is from a hyperscaler.

17 . The method of claim 16 , wherein the plurality of curated properties is standardized and put into a common context across a plurality of hyperscalers and is included in addition to the explicit and implicit data.