Large language model to detect and emulate malicious activity
US12411945B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 16, 2022 |
| Grant date | Sep 9, 2025 |
| Priority date | — |
| Expiry date | Sep 21, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2221/033
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method includes generating a set of training data, wherein a first training instance of the set of training data comprises a first plurality of messages between a first customer service agent and a first purported customer and a first label indicating whether one or more messages of the first plurality of messages are associated with malicious behavior; training a large language model (LLM) using the set of training data to generate messages; generating, by the LLM representing a second purported customer, a message associated with malicious behavior; receiving a response message from a second customer service agent based on the message associated with malicious behavior; and in response to the response message being an authorization, generating a feedback for the second customer service agent based on a number of responses before the response was an action.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.