Large Language Model Integration for Scenario Generation in Risk Management Platform
Summary
USPTO granted patent US12608672B2 to Fusion Risk Management, Inc. for a system integrating large language models into scenario generation for business continuity and risk management platforms. The patent covers establishing communicative coupling between a business continuity management user interface and a selected LLM, querying scenario databases with adverse event vectors, tuning LLM prompts with organization-specific data, and generating plausible scenarios for simulation engines. The patent names Robert Davis DeRodes, Zachary Keller, and James Post as inventors, with a filing date of October 11, 2023 and 12 claims.
“Scenario generation includes establishing a communicative coupling between a computer-generated business continuity management user interface and a selected large language model (LLM).”
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GovPing monitors USPTO Patent Grants - Business Methods (G06Q) for new banking & finance regulatory changes. Every update since tracking began is archived, classified, and available as free RSS or email alerts — 32 changes logged to date.
What changed
USPTO granted patent US12608672B2 to Fusion Risk Management, Inc. for integrating large language models into scenario generation within a risk management platform. The system establishes communicative coupling between a business continuity management user interface and a selected LLM, queries scenario databases using adverse event vectors, tunes LLM prompts with organization-specific data, and generates plausible scenario text for use in simulation engines.
This patent grant confers intellectual property rights to Fusion Risk Management, Inc. and does not create compliance obligations for other entities. Competitors developing similar LLM-based risk management or scenario simulation tools should be aware of this issued patent when designing systems to avoid potential infringement. The patent's broad claims around LLM coupling, prompt tuning, and scenario persistence may affect how other firms approach AI-enhanced business continuity solutions.
Archived snapshot
Apr 23, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
Large language model (LLM) integration for scenario generation in a risk management platform
Grant US12608672B2 Kind: B2 Apr 21, 2026
Assignee
FUSION RISK MANAGEMENT, INC.
Inventors
Robert Davis DeRodes, Zachary Keller, James Post
Abstract
Scenario generation includes establishing a communicative coupling between a computer-generated business continuity management user interface and a selected large language model (LLM). Scenario generation includes specifying an adverse event in the user interface and querying a database of scenario description records for an organization with the specified adverse event in order to receive a vector of relevant data to the specified adverse event. Scenario generation further includes first tuning a pre-determined LLM prompt with the vector to produce a specific LLM prompt for the specified adverse event and then submitting the specific LLM prompt to the selected LLM from over the communicative coupling. The selected LLM returns to the user interface scenario text referring to a plausible instance of the specified adverse event. Finally, scenario generation includes persisting the scenario text into persistent storage in connection with a specific scenario for use in a scenario simulation engine.
CPC Classifications
G06F 40/20 G06Q 10/067
Filing Date
2023-10-11
Application No.
18485264
Claims
12
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