IP Library › Granted Patent US 12,563,071
Granted Patent B1
US 12,563,071 · App. 18/541,261 · Granted Feb 24, 2026

Using generative artificial intelligence to interface with a knowledge graph

Inventors: Njall Skarphedinsson (Redwood City, CA); Pamela Bhattacharya (Redmond, WA); Úlfar Erlingsson (Palo Alto, CA); Yijou Chen (Cupertino, CA)
Assignee: Fortinet, Inc.
H04L63/1425G06F9/455G06F9/545G06F16/9024G06F16/9038G06F16/9535G06F16/9537G06F21/57H04L43/045H04L43/06H04L63/10H04L67/306H04L67/535G06F16/2456
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Quick Facts
Patent No.
US 12,563,071
App. No.
18/541,261
Filed
Dec 15, 2023
Granted
Feb 24, 2026
Kind
B1
Art Unit
2458
USPC
709/224
Abstract

Using generative artificial intelligence to interface with a knowledge graph, including: providing, to a generative artificial intelligence (AI) model, a request associated with a knowledge graph describing activity within a cloud deployment; and providing a response to the request based on the knowledge graph and output from the generative AI model.

Claims (28)

1 . A method of using generative artificial intelligence to interface with a knowledge graph, the method comprising:

providing, to a generative artificial intelligence (AI) model, a natural language request associated with a knowledge graph describing activity within a cloud deployment; and

providing a response to the request based on the knowledge graph and output from the generative AI model, including:

the generative AI model outputting one or more parameters, based on the request, to define how the knowledge graph is to be traversed; and

applying a graph traversal function to traverse the knowledge graph based on the one or more parameters.

2 . The method of claim 1 , wherein providing the request to the generative AI model further comprises providing, as input to the generative AI model, contextual information associated with the request.

3 . The method of claim 2 , wherein the contextual information comprises the knowledge graph.

4 . The method of claim 2 , wherein the contextual information comprises data describing the activity within the cloud deployment.

5 . The method of claim 2 , wherein the contextual information comprises data describing one or more user interactions with a system configured to monitor the cloud deployment.

6 . The method of claim 1 , wherein the one or more parameters identify one or more subgraphs of the knowledge graph that are to be traversed.

7 . The method of claim 1 , wherein the request comprises a request for information associated with an alert that has occurred within the cloud deployment.

8 . The method of claim 1 , further comprising training the generative AI model to identify one or more knowledge graph patterns, wherein the output from the generative AI model is based on the one or more knowledge graph patterns.

9 . The method of claim 8 , wherein the cloud deployment is associated with a particular customer and wherein training the generative AI model is based on training data associated with the particular customer.

10 . The method of claim 9 , wherein training the generative AI model is based on training data associated cloud deployments of one or more other customers.

11 . The method of claim 1 , further comprising generating the knowledge graph based on data the describing activity in the cloud deployment.

12 . The method of claim 1 , wherein providing the response comprises modifying the knowledge graph based on the output from the generative AI model.

13 . The method of claim 1 , wherein the request comprises a request to identify activity in the knowledge graph.

14 . The method of claim 1 , wherein the request comprises a request to assess, by the generative AI model, some activity described by the knowledge graph.

15 . A non-transitory computer program product for using generative artificial intelligence to interface with a knowledge graph, the computer program product disposed on a computer readable medium, the computer program product including computer program instructions configurable to carry out the steps of:

providing, to a generative artificial intelligence (AI) model, a natural language request associated with a knowledge graph describing activity within a cloud deployment; and

providing a response to the request based on the knowledge graph and output from the generative AI model, including:

the generative AI model outputting one or more parameters, based on the request, to define how the knowledge graph is to be traversed; and

applying a graph traversal function to traverse the knowledge graph based on the one or more parameters.

16 . The computer program product of claim 15 , wherein providing the request to the generative AI model further comprises providing, as input to the generative AI model, contextual information associated with the request.

17 . The computer program product of claim 15 , wherein the one or more parameters identify one or more subgraphs of the knowledge graph that are to be traversed.

18 . The computer program product of claim 15 , wherein the request is based on a natural language input to a natural language interface for a system configured to monitor the cloud deployment.

19 . The computer program product of claim 15 , wherein the steps further comprise training the generative AI model to identify one or more knowledge graph patterns, wherein the output from the generative AI model is based on the one or more knowledge graph patterns.

20 . The computer program product of claim 15 , wherein the steps further comprise generating the knowledge graph based on data describing the activity in the cloud deployment.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 18, 2024
From: LACEWORK, INC.
To: FORTINET, INC.
Reel/Frame 069888/0611 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 15, 2023
From: SKARPHEDINSSON, NJALL; BHATTACHARYA, PAMELA; ERLINGSSON, ÚLFAR; CHEN, YIJOU
To: LACEWORK, INC.
Reel/Frame 065882/0908 →
Continuity (10)
Continuation In Part 18363093 · Aug 1, 2023
Continuation 18153270 · Jan 11, 2023
Continuation In Part 17671199 · Feb 14, 2022
Continuation In Part 17504311 · Oct 18, 2021
Continuation 16665961 · Oct 28, 2019
Continuation 16134794 · Sep 18, 2018
Provisional Application 63426936 · Nov 21, 2022
Provisional Application 62650971 · Mar 30, 2018
Provisional Application 62590986 · Nov 27, 2017
Provisional Application 63243013 · Sep 10, 2021
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