System and method for analyzing network objects in a cloud environment
A method and system for providing textual insights on objects deployed in a cloud environment are provided. The method includes collecting object data on objects deployed in the cloud environment, wherein objects are deployed and operable at different layers of the cloud environment; identifying objects deployed in the cloud environment; constructing a visual representation of the cloud environment, including the identified objects and their relationships; and generating textual insights on the identified objects and their relationships using natural language processing.
1. A computer-implemented method for providing textual insights on objects deployed in a cloud environment, comprising:
collecting object data on objects deployed in the cloud environment, wherein objects are deployed and operable at different layers of the cloud environment;
identifying objects deployed in the cloud environment;
constructing a visual representation of the cloud environment, including the identified objects and relationships between the identified objects;
generating textual insights using natural language processing based on the identified objects and the relationships; and
tagging the identified objects and respective relationships with the generated textual insights.
2. The method of claim 1 , wherein the generated textual insights further include: pure-text descriptions of objects and relationships.
3. The method of claim 1 , wherein the generated textual insights further include: multiple-step relationships.
4. The method of claim 1 , wherein the generated textual insights further include: information on anomaly detection of a relationship.
5. The method of claim 1 , wherein the generated textual insights include a network that is not detectable based on an analysis of individual objects.
6. The method of claim 1 , wherein the cloud environment includes a plurality of different cloud computing platforms.
7. The method of claim 1 , further comprising:
determining relationships between the identified objects.
8. The method of claim 7 , wherein determining the relationships between the identified objects further comprises:
determining the relationships using any one of: an observational method, a static analysis method, and an active logging method.
9. The method of claim 1 , wherein each of the objects includes any one of: a virtual network, a firewall, a network interface card, a proxy, a gateway, a software container, a container, a management object, a virtual machine, a subnet, a hub, a virtual private network (VPN).
10. The method of claim 1 , wherein using the natural language processing further comprises: applying a large language model to generate the textual insights.
11. A non-transitory computer readable medium having stored thereon instructions for causing a processing circuitry to execute a process, the process comprising:
collecting object data on objects deployed in a cloud environment, wherein objects are deployed and operable at different layers of the cloud environment;
identifying objects deployed in the cloud environment;
constructing a visual representation of the cloud environment, including the identified objects and relationships between the identified objects;
generating textual insights using natural language processing based on the identified objects and the relationships; and
tagging the identified objects and respective relationships with the generated textual insights.
12. A system for providing textual insights on objects deployed in a cloud environment comprising:
one or more processing circuitries configured to:
collect object data on objects deployed in the cloud environment, wherein objects are deployed and operable at different layers of the cloud environment;
identify objects deployed in the cloud environment;
construct a visual representation of the cloud environment, including the identified objects and relationships between the identified object;
generate textual insights using natural language processing based on the identified objects and the relationships; and
tag the identified objects and respective relationships with the generated textual insights.
13. The system of claim 12 , wherein the generated textual insights further include:
pure-text descriptions of objects and relationships.
14. The system of claim 12 , wherein the generated textual insights further include:
multiple-step relationships.
15. The system of claim 12 , wherein the generated textual insights further include:
information on anomaly detection of a relationship.
16. The system of claim 12 , wherein the generated textual insights include a network which may not be detectable based on an analysis of individual objects.
17. The system of claim 12 , wherein the cloud environment includes a plurality of different cloud computing platforms.
18. The system of claim 12 , wherein the one or more processing circuitries are further configured to:
determine relationships between the identified objects.
19. The system of claim 18 , wherein the system, when determining the relationships between the identified objects, is configured to:
determine the relationships using any one of: an observational method, a static analysis method, and an active log method.
20. The system of claim 12 , wherein each of the objects includes any one of:
a virtual network, a firewall, a network interface card, a proxy, a gateway, a software container, a container, a management object, a virtual machine, a subnet, a hub, a virtual private network (VPN).
21. The system of claim 12 , wherein the system, when using the natural language processing, are configured to:
apply a large language model to generate the textual insights.