Granted Patent B1

US 12,556,559 · App. 18/410,671 · Granted Feb 17, 2026

Inventors: Pamela Bhattacharya (Redmond, WA); Njall Skarphedinsson (Redwood City, CA); Theodore M. Reed (Berkeley Heights, NJ); Yijou Chen (Cupertino, CA)

Assignee: Fortinet, Inc.

H04L63/1425G06F9/455G06F9/545G06F16/9024G06F16/9038G06F16/9535G06F16/9537G06F21/57H04L43/045H04L43/06H04L63/10H04L67/306H04L67/535G06F16/2456

Abstract

Claims (36)

1 . A method of providing generative artificial intelligence (AI)-enabled notebook interfaces for a security framework, the method comprising:

receiving a request to generate a notebook interface for a security framework monitoring a cloud deployment;

generating, in response to the request, the notebook interface, wherein the notebook interface comprises one or more notebook cells for interacting with the security framework, wherein the one or more notebook cells comprise a natural language input cell for querying a generative artificial intelligence (AI) model and one or more notebook cells are configured to receive, from the generative AI model, executable remediation commands or security framework queries, wherein the notebook interface presents the commands or queries in editable form for execution within the security framework; and

presenting the notebook interface.

2 . The method of claim 1 , further comprising:

receiving, via the natural language input cell, a natural language input;

providing the natural language input to the generative AI model; and

updating the notebook interface based on a response from the generative AI model.

3 . The method of claim 2 , wherein the response comprises a natural language output.

4 . The method of claim 2 , wherein the response comprises executable content and wherein updating the notebook interface comprises presenting the executable content from the generative AI model as an input to an editable notebook cell facilitating user modification of the executable content.

5 . The method of claim 4 , wherein the executable content comprises a query for data associated with the security framework.

6 . The method of claim 4 , wherein the executable content comprises a portion of executable code.

7 . The method of claim 4 , further comprising executing the input to the editable notebook cell.

8 . The method of claim 1 , further comprising:

determining at least one query based on an alert context for the notebook interface; and

including, in the notebook interface, at least one notebook cell based on the determined one or more queries.

9 . The method of claim 8 , wherein determining the at least one query is facilitated by the generative AI model.

10 . The method of claim 8 , wherein the request to generate the notebook interface is performed in response to an input to an alert, and wherein the alert context comprises the alert.

11 . The method of claim 8 , wherein the alert context comprises one or more user-selected alerts selected after generating the notebook interface.

12 . The method of claim 1 , further comprising sharing, by a user, the notebook interface with one or more other users.

13 . A non-transitory computer readable storage medium storing instructions for providing generative artificial intelligence (AI)-enabled notebook interfaces for a security framework which, when executed, cause a processing device to:

receive a request to generate a notebook interface for a security framework monitoring a cloud deployment;

generate, in response to the request, the notebook interface, wherein the notebook interface comprises one or more notebook cells for interacting with the security framework, wherein the one or more notebook cells comprise a natural language input cell for querying a generative artificial intelligence (AI) model and one or more notebook cells are configured to receive, from the generative AI model, executable remediation commands or security framework queries, wherein the notebook interface presents the commands or queries in editable form for execution within the security framework; and

present the notebook interface.

14 . The non-transitory computer readable storage medium of claim 13 , wherein the instructions, when executed, further cause a processing device to:

receive, via the natural language input cell, a natural language input;

provide the natural language input to the generative AI model; and

update the notebook interface based on a response from the generative AI model.

15 . The non-transitory computer readable storage medium of claim 14 , wherein the response comprises a natural language output.

16 . The non-transitory computer readable storage medium of claim 14 , wherein the response comprises executable content and wherein, to update the notebook interface, the instructions, when executed, further cause a processing device to present the executable content from the generative AI model as an input to an editable notebook cell facilitating user modification of the executable content.

17 . The non-transitory computer readable storage medium of claim 16 , wherein the executable content comprises a query for data associated with the security framework.

18 . The non-transitory computer readable storage medium of claim 16 , wherein the executable content comprises a portion of executable code.

19 . The non-transitory computer readable storage medium of claim 16 , wherein the instructions, when executed, further cause a processing device to execute the input to the editable notebook cell.

20 . The transitory computer readable storage medium of claim 13 , wherein the instructions, when executed, further cause a processing device to:

determine at least one query based on an alert context for the notebook interface; and

include, in the notebook interface, at least one notebook cell based on the determined one or more queries.

Assignments (2)

Continuity (8)

References Cited (400)

Cited By (1)

US 12,711,263