Perkins Coie LLP
Retrospective learning of communication patterns by machine learning models for discovering abnormal behavior
Conventional email filtering services are not suitable for recognizing sophisticated malicious emails, and therefore may allow sophisticated malicious emails to reach inboxes by mistake. Introduced here are threat detection platforms designed to take an integrative approach to detecting security threats. For example, after receiving input indicative of an approval from an individual to access past email received by employees of an enterprise, a threat detection platform can download past emails to build a machine learning (ML) model that understands the norms of communication with internal contacts (e.g., other employees) and/or external contacts (e.g., vendors). By applying the ML model to incoming email, the threat detection platform can identify security threats in real time in a targeted manner.
Abnormal Security Corporation
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Evan James Su Li Debbie Jeremy Carlos Daniel Kai Jing Sanjay Abhijit Kevin Dmitry Jeshua Alexis Sanny Xiao Yang Yu Zhou Cheng-Lin
Reiser Tan Kao Gasperi Jiang Jeyakumar Bagri Lau Chechik Bratman Liao Lee Yeh