Van Pelt, Yi & James LLP
Multistage analysis of emails to identify security threats
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
Dmitry Su Li Debbie Evan James Jeremy Jeshua Alexis Kevin Cheng-Lin Sanny Xiao Yang Abhijit Sanjay Yu Zhou Carlos Daniel Kai Jing
Chechik Tan Reiser Kao Bratman Lau Yeh Liao Bagri Jeyakumar Lee Gasperi Jiang