IP Library Granted Patent US 12,407,715
Granted Patent B2
US 12,407,715 · App. 18/585,128 · Granted Sep 2, 2025

Threat mitigation system and method

Inventors: Brian P. Murphy (Tampa, FL); Joe Partlow (Tampa, FL); Colin O'Connor (Tampa, FL); Jason Pfeiffer (Tampa, FL); Brian Philip Murphy (St. Petersburg, FL); Jonathan R. Echavarria (Tampa, FL)
Assignee: RELIAQUEST HOLDINGS, LLC
H04L63/1441G06F16/345G06F21/552G06F21/554G06F21/566G06F40/103G06F40/154G06F40/56G06N3/0475H04L41/16H04L63/1416H04L63/1425G06F2221/034
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Quick Facts
Patent No.
US 12,407,715
App. No.
18/585,128
Granted
Sep 2, 2025
Kind
B2
Abstract

A computer-implemented method, computer program product and computing system for maintaining a model repository that defines a plurality of AI models; establishing connectivity with a plurality of security-relevant subsystems within a computing platform; receiving an initial notification of a security event from one of the security-relevant subsystems, wherein the initial notification includes a computer-readable language portion that defines one or more specifics of the security event; and selecting a generative AI model for processing the initial notification of the security event from the plurality of AI models defined within the model repository, thus defining a selected generative AI model.

Claims (63)

1. A computer-implemented method executed on a computing device comprising:

maintaining a model repository that defines a plurality of AI models, wherein the model repository includes the plurality of AI models and metadata about the plurality of models, wherein the metadata includes one or more of: a model type of each of the plurality of AI models, performance metrics associated with each of the plurality of AI models, and intended use cases of each of the plurality of AI model;

establishing connectivity with a plurality of security-relevant subsystems within a computing platform;

receiving an initial notification of a security event from one of the security-relevant subsystems, wherein the initial notification includes a computer-readable language portion that defines one or more specifics of the security event; and

selecting a generative AI model for processing the initial notification of the security event from the plurality of AI models defined within the model repository, thus defining a selected generative AI model.

2. The computer-implemented method of claim 1 wherein receiving an initial notification of a security event from one of the security-relevant subsystems includes:

receiving the initial notification of the security event from an agent executed on one of the security-relevant subsystems.

3. The computer-implemented method of claim 1 further comprising:

processing the initial notification using the selected generative AI model and a formatting script to produce a summarized human-readable report for the initial notification.

4. The computer-implemented method of claim 3 wherein processing the initial notification using the selected generative AI model and a formatting script to produce a summarized human-readable report for the initial notification includes:

processing the initial notification using the selected generative AI model, the formatting script and/or one or more tools to produce the summarized human-readable report for the initial notification.

5. The computer-implemented method of claim 4 wherein the one or more tools includes one or more of:

a decoding tool to decode an encoded initial notification;

a decompression tool to decompress a compressed initial notification; and

an identification tool to identify an owner of a domain associated with the initial notification.

6. The computer-implemented method of claim 3 wherein processing the initial notification using the selected generative AI model and a formatting script to produce a summarized human-readable report for the initial notification includes:

processing the initial notification using a large language model.

7. The computer-implemented method of claim 3 wherein processing the initial notification using the selected generative AI model and a formatting script to produce a summarized human-readable report for the initial notification includes:

utilizing prompt engineering to produce the summarized human-readable report for the initial notification.

8. The computer-implemented method of claim 3 wherein processing the initial notification using the selected generative AI model and a formatting script to produce a summarized human-readable report for the initial notification includes:

utilizing several loops and/or nested loops to produce the summarized human-readable report for the initial notification.

9. A computer program product residing on a computer readable medium having a plurality of instructions stored thereon which, when executed by a processor, cause the processor to perform operations comprising:

maintaining a model repository that defines a plurality of AI models, wherein the model repository includes the plurality of AI models and metadata about the plurality of models, wherein the metadata includes one or more of: a model type of each of the plurality of AI models, performance metrics associated with each of the plurality of AI models, and intended use cases of each of the plurality of AI models;

establishing connectivity with a plurality of security-relevant subsystems within a computing platform;

receiving an initial notification of a security event from one of the security-relevant subsystems, wherein the initial notification includes a computer-readable language portion that defines one or more specifics of the security event; and

selecting a generative AI model for processing the initial notification of the security event from the plurality of AI models defined within the model repository, thus defining a selected generative AI model.

10. The computer program product of claim 9 wherein receiving an initial notification of a security event from one of the security-relevant subsystems includes:

receiving the initial notification of the security event from an agent executed on one of the security-relevant subsystems.

11. The computer program product of claim 9 further comprising:

processing the initial notification using the selected generative AI model and a formatting script to produce a summarized human-readable report for the initial notification.

12. The computer program product of claim 11 wherein processing the initial notification using the selected generative AI model and a formatting script to produce a summarized human-readable report for the initial notification includes:

processing the initial notification using the selected generative AI model, the formatting script and/or one or more tools to produce the summarized human-readable report for the initial notification.

13. The computer program product of claim 12 wherein the one or more tools includes one or more of:

a decoding tool to decode an encoded initial notification;

a decompression tool to decompress a compressed initial notification; and

an identification tool to identify an owner of a domain associated with the initial notification.

14. The computer program product of claim 11 wherein processing the initial notification using the selected generative AI model and a formatting script to produce a summarized human-readable report for the initial notification includes:

processing the initial notification using a large language model.

15. The computer program product of claim 11 wherein processing the initial notification using the selected generative AI model and a formatting script to produce a summarized human-readable report for the initial notification includes:

utilizing prompt engineering to produce the summarized human-readable report for the initial notification.

16. The computer program product of claim 11 wherein processing the initial notification using the selected generative AI model and a formatting script to produce a summarized human-readable report for the initial notification includes:

utilizing several loops and/or nested loops to produce the summarized human-readable report for the initial notification.

17. A computing system including a processor and memory configured to perform operations comprising:

maintaining a model repository that defines a plurality of AI models, wherein the model repository includes the plurality of AI models and metadata about the plurality of models, wherein the metadata includes one or more of: a model type of each of the plurality of AI models, performance metrics associated with each of the plurality of AI models, and intended use cases of each of the plurality of AI models;

establishing connectivity with a plurality of security-relevant subsystems within a computing platform;

receiving an initial notification of a security event from one of the security-relevant subsystems, wherein the initial notification includes a computer-readable language portion that defines one or more specifics of the security event; and

selecting a generative AI model for processing the initial notification of the security event from the plurality of AI models defined within the model repository, thus defining a selected generative AI model.

18. The computing system of claim 17 wherein receiving an initial notification of a security event from one of the security-relevant subsystems includes:

receiving the initial notification of the security event from an agent executed on one of the security-relevant subsystems.

19. The computing system of claim 17 further comprising:

processing the initial notification using the selected generative AI model and a formatting script to produce a summarized human-readable report for the initial notification.

20. The computing system of claim 19 wherein processing the initial notification using the selected generative AI model and a formatting script to produce a summarized human-readable report for the initial notification includes:

processing the initial notification using the selected generative AI model, the formatting script and/or one or more tools to produce the summarized human-readable report for the initial notification.

21. The computing system of claim 20 wherein the one or more tools includes one or more of:

a decoding tool to decode an encoded initial notification;

a decompression tool to decompress a compressed initial notification; and

an identification tool to identify an owner of a domain associated with the initial notification.

22. The computing system of claim 19 wherein processing the initial notification using the selected generative AI model and a formatting script to produce a summarized human-readable report for the initial notification includes:

processing the initial notification using a large language model.

23. The computing system of claim 19 wherein processing the initial notification using the selected generative AI model and a formatting script to produce a summarized human-readable report for the initial notification includes:

utilizing prompt engineering to produce the summarized human-readable report for the initial notification.

24. The computing system of claim 19 wherein processing the initial notification using the selected generative AI model and a formatting script to produce a summarized human-readable report for the initial notification includes:

utilizing several loops and/or nested loops to produce the summarized human-readable report for the initial notification.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 7, 2024
From: MURPHY, BRIAN P.; PARTLOW, JOE; O’CONNOR, COLIN; PFEIFFER, JASON; MURPHY, BRIAN PHILIP; ECHAVARRIA, JONATHAN R.
To: RELIAQUEST HOLDINGS, LLC
Reel/Frame 066682/0302 →
Continuity (2)
Provisional Application 63486617 · Feb 23, 2023
Related Publication 20240289459A1 · Aug 29, 2024
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