Multistage analysis of emails to identify security threats
US11973772B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 22, 2022 |
| Grant date | Apr 30, 2024 |
| Priority date | — |
| Expiry date | Feb 22, 2042 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/1483
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.