Entity maliciousness analysis using autonomous artificial intelligence agents
Assignee
Microsoft Technology Licensing, LLC
Inventors
Naveed Azeemi Ahmad, Lloyd Geoffrey Greenwald, Muhammed Fatih Bulut, Yingqi Liu, Acar Tamersoy
Abstract
Techniques are described herein that are capable of performing entity maliciousness analysis using autonomous AI agents. A first autonomous AI agent selects relevant data from a corpus of data using a first selected AI tool in an AI model as a result of the relevant data being associated with an entity. A second autonomous AI agent generates a maliciousness determination, which indicates whether the entity exhibits malicious behavior, by analyzing the relevant data using a second selected AI tool in the AI model. A third autonomous AI agent generates a validity determination, which indicates whether the maliciousness determination is valid, by analyzing the maliciousness determination using a third selected AI tool in the AI model. As a result of an analysis that takes into consideration the validity determination, execution of an instruction that causes a security action to be performed with regard to the entity is triggered.
CPC Classifications
Filing Date
2024-06-28
Application No.
18759745
Claims
21