Anomaly detection based on communication between entities over a network
US11258807B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 3, 2019 |
| Grant date | Feb 22, 2022 |
| Priority date | — |
| Expiry date | Jun 28, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L2463/121
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics. The security platform performs user/entity behavioral analytics (UEBA) to detect the security related anomalies and threats, regardless of whether such anomalies/threats were previously known. The security platform can include both real-time and batch paths/modes for detecting anomalies and threats. By visually presenting analytical results scored with risk ratings and supporting evidence, the security platform enables network security administrators to respond to a detected anomaly or threat, and to take action promptly.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.