公开(公告)号：US20240356938A1

公开(公告)日：2024-10-24

申请号：US18645172

申请日：2024-04-24

申请人： Abnormal Security Corporation

发明人： Sanjay Jeyakumar ,  Evan Reiser ,  Abhijit Bagri ,  Maritza Perez ,  Vineet Edupuganti ,  Yingkai Gao ,  Umut Gultepe ,  Cheng-Lin Yeh ,  Mark Philip ,  Tejas Khot ,  Thomas Dawes ,  Sanish Mahadik ,  Benjamin Snider ,  Cheng Li ,  Nirmal Balachundhar ,  Adithya Vellal ,  Lucas Sonnabend

IPC分类号： H04L9/40 ,  G06N3/02 ,  H04L67/50

CPC分类号： H04L63/1416 ,  G06N3/02 ,  H04L63/1441 ,  H04L67/535

摘要： Introduced here is a network-accessible platform (or simply “platform”) that is designed to monitor digital activities that are performed across different services to ascertain, in real time, threats to the security of an enterprise. In order to surface insights into the threats posed to an enterprise, the platform can apply machine learning models to data that is representative of digital activities performed on different services with respective accounts. Each model may be trained to understand what constitutes normal behavior for a corresponding employee with respect to a single service or multiple services. Not only can these models be autonomously trained for the employees of the enterprise, but they can also be autonomously applied to detect, characterize, and catalog those digital activities that are indicative of a threat.

公开(公告)号：US20240354680A1

公开(公告)日：2024-10-24

申请号：US18645183

申请日：2024-04-24

申请人： Abnormal Security Corporation

发明人： Sanjay Jeyakumar ,  Evan Reiser ,  Abhijit Bagri ,  Maritza Perez ,  Vineet Edupuganti ,  Yingkai Gao ,  Umut Gultepe ,  Cheng-Lin Yeh ,  Mark Philip ,  Tejas Khot ,  Thomas Dawes ,  Sanish Mahadik ,  Benjamin Snider ,  Cheng Li ,  Nirmal Balachundhar ,  Adithya Vellal ,  Lucas Sonnabend

IPC分类号： G06Q10/0635 ,  H04L9/40

CPC分类号： G06Q10/0635 ,  H04L63/1416 ,  H04L63/1425

摘要： Introduced here is a network-accessible platform (or simply “platform”) that is designed to monitor digital activities that are performed across different services to ascertain, in real time, threats to the security of an enterprise. In order to surface insights into the threats posed to an enterprise, the platform can apply machine learning models to data that is representative of digital activities performed on different services with respective accounts. Each model may be trained to understand what constitutes normal behavior for a corresponding employee with respect to a single service or multiple services. Not only can these models be autonomously trained for the employees of the enterprise, but they can also be autonomously applied to detect, characterize, and catalog those digital activities that are indicative of a threat.

公开(公告)号：US20240356959A1

公开(公告)日：2024-10-24

申请号：US18645164

申请日：2024-04-24

申请人： Abnormal Security Corporation

发明人： Sanjay Jeyakumar ,  Evan Reiser ,  Abhijit Bagri ,  Maritza Perez ,  Vineet Edupuganti ,  Yingkai Gao ,  Umut Gultepe ,  Cheng-Lin Yeh ,  Mark Philip ,  Tejas Khot ,  Thomas Dawes ,  Sanish Mahadik ,  Benjamin Snider ,  Cheng Li ,  Nirmal Balachundhar ,  Adithya Vellal ,  Lucas Sonnabend

IPC分类号： H04L9/40

CPC分类号： H04L63/1433 ,  H04L63/1416

摘要： Introduced here is a network-accessible platform (or simply “platform”) that is designed to monitor digital activities that are performed across different services to ascertain, in real time, threats to the security of an enterprise. In order to surface insights into the threats posed to an enterprise, the platform can apply machine learning models to data that is representative of digital activities performed on different services with respective accounts. Each model may be trained to understand what constitutes normal behavior for a corresponding employee with respect to a single service or multiple services. Not only can these models be autonomously trained for the employees of the enterprise, but they can also be autonomously applied to detect, characterize, and catalog those digital activities that are indicative of a threat.

公开(公告)号：US20240356951A1

公开(公告)日：2024-10-24

申请号：US18645265

申请日：2024-04-24

申请人： Abnormal Security Corporation

发明人： Sanjay Jeyakumar ,  Evan Reiser ,  Abhijit Bagri ,  Maritza Perez ,  Vineet Edupuganti ,  Yingkai Gao ,  Umut Gultepe ,  Cheng-Lin Yeh ,  Mark Philip ,  Tejas Khot ,  Thomas Dawes ,  Sanish Mahadik ,  Benjamin Snider ,  Cheng Li ,  Nirmal Balachundhar ,  Adithya Vellal ,  Lucas Sonnabend

IPC分类号： H04L9/40 ,  G06Q10/0635

CPC分类号： H04L63/1425 ,  G06Q10/0635 ,  H04L63/1416

摘要： Introduced here is a network-accessible platform (or simply “platform”) that is designed to monitor digital activities that are performed across different services to ascertain, in real time, threats to the security of an enterprise. In order to surface insights into the threats posed to an enterprise, the platform can apply machine learning models to data that is representative of digital activities performed on different services with respective accounts. Each model may be trained to understand what constitutes normal behavior for a corresponding employee with respect to a single service or multiple services. Not only can these models be autonomously trained for the employees of the enterprise, but they can also be autonomously applied to detect, characterize, and catalog those digital activities that are indicative of a threat.