公开(公告)号：US20250138819A1

公开(公告)日：2025-05-01

申请号：US18496722

申请日：2023-10-27

Applicant: CrowdStrike, Inc.

Inventor： Damian Monea ,  Paul Sumedrea ,  Mihaela-Petruta Gaman ,  Alexandru Dinu

IPC: G06F8/75 ,  G06F21/56 ,  G06F40/30

Abstract: An approach is provided that provides a plurality of source code samples to an artificial intelligence model (AIM) trained to describe source code based on performing semantic analysis on the source code. The approach produces, using the AIM, a plurality of semantic descriptions that describe the plurality of source code samples. Then, the approach converts the plurality of semantic descriptions into a plurality of semantic embeddings. In turn, the approach creates a plurality of clusters from the plurality of semantic embeddings, wherein each one of the plurality of clusters corresponds to two or more of the plurality of source code samples.

公开(公告)号：US12204644B1

公开(公告)日：2025-01-21

申请号：US18622167

申请日：2024-03-29

Applicant: CrowdStrike, Inc.

Inventor： Stefan-Bogdan Cocea ,  Damian Monea ,  Alexandru Dinu ,  Cristian Viorel Popa ,  Mihaela-Petruta Gaman

IPC: G06F21/00 ,  G06F8/30 ,  G06F21/56

Abstract: The present disclosure provides an approach of providing, to an artificial intelligence (AI) model, a malicious script that includes a malicious behavior. The AI model is configured to modify software code of the malicious script to produce modified software code that obfuscates the malicious behavior. The approach produces, by a processing device using the AI model, an adversarial script that includes the modified software code that obfuscates the malicious behavior. In turn, the approach initiates a malware detector to test the adversarial script.

公开(公告)号：US20250023893A1

公开(公告)日：2025-01-16

申请号：US18523581

申请日：2023-11-29

Applicant: CrowdStrike, Inc.

Inventor： Paul Sumedrea ,  Damian Monea

IPC: H04L9/40 ,  H04L41/16

Abstract: A system and method of using generative AI to identify exposures of computing devices on computing networks to actual and/or potential threats. The method includes collecting a plurality of responses from a plurality of devices to a target device on a private network. The method includes providing the plurality of responses to a classification model trained to assign device descriptions for device responses based on semantic matching of the device responses to database data. The method includes assigning, by the processing device using the classification model, a plurality of device descriptions for the plurality of responses to the target device, each response is respectively associated with one or more device descriptions of the plurality of device descriptions. The method includes generating, based on the plurality of device descriptions, a status report comprising a list of network addresses associated with a group of devices having access to the target device.

公开(公告)号：US20250023779A1

公开(公告)日：2025-01-16

申请号：US18405749

申请日：2024-01-05

Applicant: CrowdStrike, Inc.

Inventor： Paul Sumedrea ,  Damian Monea

IPC: H04L41/084 ,  G06F40/20

Abstract: A system and method of using generative AI to recommend and validate asset and/or cloud configurations. The method includes acquiring a set of parameters associated with one or more network entities of a computing network. The method includes providing the set of parameters to a configuration model trained to generate, based on semantic matching, recommended configurations for network entities and validated configurations for the network entities. The method includes generating, by a processing device using the configuration model, one or more recommended configurations for the one or more network entities based on the set of parameters.