• Recent
  • Class
  • Inventors
  • Assignees
  • Top Lists
  • Pricing
  • Account
Patents-Review.com
  1. Home
  2. Inventor
  3. M
  4. Mos…
  5. MOST Yonatan
🔗 Permalink
Inventor profile of:

Yonatan MOST

City:

Kfar Saba

Country:

Israel

Published Applications:

6

Last publication date:

2021-01-07

Top Assignees for applications by Yonatan MOST

The entities that hold a legal rights for patent applications filed by inventor MOST Yonatan:

  • Microsoft Technology Licensing, LLC 6 Redmond, WA United States

Recent patent applications by MOST Yonatan

Yonatan MOST from Kfar Saba, IL has applied for patents for these inventions. The list has both pending applications and granted patents:

#1 | 2021-01-07
US20210006572A1
Electricity

Determine suspicious user events using grouped activities

#2 | 2019-10-31
US20190334923A1
Electricity

Detecting unauthorized cloud access by detecting malicious velocity incidents

#3 | 2018-08-16
US20180234444A1
Electricity

System and method for detecting anomalies associated with network traffic to cloud applications

#4 | 2018-08-16
US20180234443A1
Electricity

System and method for detecting anomalies including detection and removal of outliers associated with network traffic to cloud applications

#5 | 2017-04-27
US20170118239A1
Electricity

DETECTION OF CYBER THREATS AGAINST CLOUD-BASED APPLICATIONS

#6 | 2017-04-20
US20170111383A1
Electricity

Detection of bypass vulnerabilities

InventorID:

1855588 ⎘

  1. Home
  2. Inventor
  3. M
  4. Mos…
  5. MOST Yonatan

Some parts © 2022-2026 Patents-Review.com

Browse & Discovery
  • Home
  • Patent Classification
  • Inventor Index
  • Assignee Index
  • Interesting Applications
Search & Tools
  • Basic Search
  • Advanced Search
  • Patent Alerts
  • Top Lists
  • Statistics
Information & Resources
  • About US Patent System
  • Terms & Privacy
  • Pricing
  • Contact
Quick Access
  • Latest Applications
  • Top Inventors 2026
  • Top Assignees 2026
  • Featured Patents
Disclaimer: This website is intended for informational purposes only, and its content is based on public patent records. Please note that some sections of this website have been created or processed using machine learning models. We provide content in good faith but make no guarantees regarding accuracy or completeness. By using this site, you accept any risks and waive claims against us for errors or omissions.