IP Library Granted Patent US 12,388,863
Granted Patent B2
US 12,388,863 · App. 18/585,120 · Granted Aug 12, 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 12,388,863
App. No.
18/585,120
Granted
Aug 12, 2025
Kind
B2
Abstract

A computer-implemented method, computer program product and computing system for 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; processing the initial notification using a generative AI model and a formatting script to produce a summarized human-readable report for the initial notification, wherein the summarized human-readable report defines one or more recommended next steps; and automatically executing some or all of the recommended next steps to define one or more recommended actions.

Claims (54)

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

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;

processing the initial notification using a generative AI model and a formatting script and one or more tools to produce a summarized human-readable report for the initial notification, wherein the summarized human-readable report defines one or more recommended next steps, wherein the one or more tools include one or more of:

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; and

automatically executing some or all of the recommended next steps to define one or more recommended actions.

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 wherein the one or more tools includes a decoding tool to decode an encoded initial notification.

4. The computer-implemented method of claim 1 wherein processing the initial notification using a 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.

5. The computer-implemented method of claim 1 wherein processing the initial notification using a 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.

6. The computer-implemented method of claim 1 wherein processing the initial notification using a generative AI model and a formatting script to produce a summarized human-readable report for the initial notification includes:

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

7. The computer-implemented method of claim 1 wherein automatically executing some or all of the recommended next steps to define one or more recommended actions includes:

automatically performing one or more investigative operations concerning the security event.

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

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;

processing the initial notification using a generative AI model and a formatting script and one or more tools to produce a summarized human-readable report for the initial notification, wherein the summarized human-readable report defines one or more recommended next steps, wherein the one or more tools include one or more of:

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; and

automatically executing some or all of the recommended next steps to define one or more recommended actions.

9. The computer program product of claim 8 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.

10. The computer program product of claim 8 wherein the one or more tools includes a decoding tool to decode an encoded initial notification.

11. The computer program product of claim 8 wherein processing the initial notification using a 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.

12. The computer program product of claim 8 wherein processing the initial notification using a 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.

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

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

14. The computer program product of claim 8 wherein automatically executing some or all of the recommended next steps to define one or more recommended actions includes:

automatically performing one or more investigative operations concerning the security event.

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

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;

processing the initial notification using a generative AI model and a formatting script and one or more tools to produce a summarized human-readable report for the initial notification, wherein the summarized human-readable report defines one or more recommended next steps, wherein the one or more tools include one or more of:

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; and

automatically executing some or all of the recommended next steps to define one or more recommended actions.

16. The computing system of claim 15 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.

17. The computing system of claim 15 wherein the one or more tools includes a decoding tool to decode an encoded initial notification.

18. The computing system of claim 15 wherein processing the initial notification using a 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.

19. The computing system of claim 15 wherein processing the initial notification using a 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.

20. The computing system of claim 15 wherein processing the initial notification using a generative AI model and a formatting script to produce a summarized human-readable report for the initial notification includes:

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

21. The computing system of claim 15 wherein automatically executing some or all of the recommended next steps to define one or more recommended actions includes:

automatically performing one or more investigative operations concerning the security event.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 13, 2025
From: MURPHY, BRIAN P.; PARTLOW, JOE; O'CONNOR, COLIN; PFEIFFER, JASON; MURPHY, BRIAN PHILIP; ECHAVARRIA, JONATHAN R.
To: RELIAQUEST HOLDINGS, LLC
Reel/Frame 069836/0932 →
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 20240291850A1 · Aug 29, 2024
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