IP Library Granted Patent US 12,395,521
Granted Patent B2
US 12,395,521 · App. 18/585,000 · Granted Aug 19, 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 12,395,521
App. No.
18/585,000
Granted
Aug 19, 2025
Kind
B2
Abstract

A computer-implemented method, computer program product and computing system for defining a formatting script for use with a Generative AI Model; receiving a plurality of notifications of a security event, wherein each of the plurality of notifications includes a computer-readable language portion that defines one or more specifics of the security event, thus defining a plurality of computer-readable language portions; processing at least a portion of each of the plurality of computer-readable language portions using the Generative AI Model and the formatting script to summarize each of the computer-readable language portions and generate a plurality of event summaries; and’ processing at least a portion of each of the plurality of event summaries using the Generative AI Model and the formatting script to summarize the plurality of event summaries and generate a summarized human-readable report.

Claims (48)

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

selecting a Generative AI Model from a plurality of Generative AI Models based on operation requirements;

defining a formatting script for use with the Generative AI Model;

receiving a plurality of notifications of a security event, wherein each of the plurality of notifications includes a computer-readable language portion that defines one or more specifics of the security event, thus defining a plurality of computer-readable language portions;

processing at least a portion of each of the plurality of computer-readable language portions using the Generative AI Model and the formatting script to summarize each of the computer-readable language portions and generate a plurality of event summaries, wherein the formatting script includes one or more discrete instructions for the Generative AI Model configured to one or more of structure, preprocess or format data for interaction with the Generative AI Model; and

processing at least a portion of each of the plurality of event summaries using the Generative AI Model and the formatting script to summarize the plurality of event summaries and generate a summarized human-readable report.

2. The computer-implemented method of claim 1 wherein the computer-readable language portion includes a JSON portion.

3. The computer-implemented method of claim 1 wherein the formatting script includes one or more discrete instructions for the Generative AI Model.

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

presenting the summarized human-readable report to a user.

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

prompting a user to provide feedback concerning the summarized human-readable report.

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

receiving feedback concerning the summarized human-readable report from a user.

7. The computer-implemented method of claim 6 further comprising:

utilizing the feedback to revise the formatting script.

8. 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:

selecting a Generative AI Model from a plurality of Generative AI Models based on operation requirements;

defining a formatting script for use with the Generative AI Model;

receiving a plurality of notifications of a security event, wherein each of the plurality of notifications includes a computer-readable language portion that defines one or more specifics of the security event, thus defining a plurality of computer-readable language portions;

processing at least a portion of each of the plurality of computer-readable language portions using the Generative AI Model and the formatting script to summarize each of the computer-readable language portions and generate a plurality of event summaries, wherein the formatting script includes one or more discrete instructions for the Generative AI Model configured to one or more of structure, preprocess or format data for interaction with the Generative AI Model; and

processing at least a portion of each of the plurality of event summaries using the Generative AI Model and the formatting script to summarize the plurality of event summaries and generate a summarized human-readable report.

9. The computer program product of claim 8 wherein the computer-readable language portion includes a JSON portion.

10. The computer program product of claim 8 wherein the formatting script includes one or more discrete instructions for the Generative AI Model.

11. The computer program product of claim 8 further comprising:

presenting the summarized human-readable report to a user.

12. The computer program product of claim 8 further comprising:

prompting a user to provide feedback concerning the summarized human-readable report.

13. The computer program product of claim 8 further comprising:

receiving feedback concerning the summarized human-readable report from a user.

14. The computer program product of claim 13 further comprising:

utilizing the feedback to revise the formatting script.

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

selecting a Generative AI Model from a plurality of Generative AI Models based on operation requirements;

defining a formatting script for use with the Generative AI Model;

receiving a plurality of notifications of a security event, wherein each of the plurality of notifications includes a computer-readable language portion that defines one or more specifics of the security event, thus defining a plurality of computer-readable language portions;

processing at least a portion of each of the plurality of computer-readable language portions using the Generative AI Model and the formatting script to summarize each of the computer-readable language portions and generate a plurality of event summaries, wherein the formatting script includes one or more discrete instructions for the Generative AI Model configured to one or more of structure, preprocess or format data for interaction with the Generative AI Model; and

processing at least a portion of each of the plurality of event summaries using the Generative AI Model and the formatting script to summarize the plurality of event summaries and generate a summarized human-readable report.

16. The computing system of claim 15 wherein the computer-readable language portion includes a JSON portion.

17. The computing system of claim 15 wherein the formatting script includes one or more discrete instructions for the Generative AI Model.

18. The computing system of claim 15 further comprising:

presenting the summarized human-readable report to a user.

19. The computing system of claim 15 further comprising:

prompting a user to provide feedback concerning the summarized human-readable report.

20. The computing system of claim 15 further comprising:

receiving feedback concerning the summarized human-readable report from a user.

21. The computing system of claim 20 further comprising:

utilizing the feedback to revise the formatting script.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 6, 2025
From: MURPHY, BRIAN P.; PARTLOW, JOE; O'CONNOR, COLIN; PFEIFFER, JASON; MURPHY, BRIAN PHILIP; ECHAVARRIA, JONATHAN R.
To: RELIAQUEST HOLDINGS, LLC
Reel/Frame 070134/0099 →
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 20240289535A1 · Aug 29, 2024
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