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For the Inventor, By the Inventor

Miami, FL, United States of America

Yuri Frayman

USPTO Granted Patents = 11


Average Co-Inventor Count = 3.5

ph-index = 3

Forward Citations = 17(Granted Patents)


Company Filing History:

goldMedal11 out of 42 
 
Cujo LLC
 patents

Years Active: 2018-2022

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11 patents (USPTO):Explore Patents
1. 11303657 - Applying condensed machine learned models within a local network (2022-04-12),
2. 11303656 - Determining entity maliciousness based on associated entities (2022-04-12),
3. 11277422 - Detecting malicious network addresses within a local network (2022-03-15),
4. 11176459 - Extracting encryption metadata and terminating malicious connections using machine learning (2021-11-16),
5. 11153336 - Network security analysis for smart appliances (2021-10-19),
6. 10609051 - Network security analysis for smart appliances (2020-03-31),
7. 10567410 - Determining the maliciousness of executable files using a remote sandbox environment (2020-02-18),
8. 10560280 - Network security analysis for smart appliances (2020-02-11),
9. 10454961 - Extracting encryption metadata and terminating malicious connections using machine learning (2019-10-22),
10. 10230740 - Network security analysis for smart appliances (2019-03-12),
11. 10135633 - Network security analysis for smart appliances (2018-11-20),

Title: Innovations of Yuri Frayman

Introduction

Yuri Frayman is a notable inventor based in Miami, FL, with a remarkable portfolio of 11 patents. His work primarily focuses on enhancing network security through innovative technologies. Frayman's contributions have significantly impacted the field of behavior analysis in network traffic.

Latest Patents

Frayman's latest patents include groundbreaking technologies such as "Determining entity maliciousness based on associated entities." This patent describes a behavior analysis engine that identifies malicious entities by analyzing their connections to other entities. The engine utilizes a recursive process to assess whether an entity is malicious based on its connections. If deemed malicious, the engine can instruct the network traffic hub to block communications associated with that entity. Another significant patent is "Applying condensed machine learned models within a local network." This invention allows the behavior analysis engine to condense machine-learned models for more efficient use in local networks. The condensed models maintain decision-making capabilities similar to their larger counterparts while being more resource-efficient.

Career Highlights

Yuri Frayman is currently employed at Cujo LLC, where he continues to develop innovative solutions for network security. His expertise in behavior analysis and machine learning has positioned him as a leader in his field. Frayman's work is instrumental in advancing technologies that protect networks from malicious activities.

Collaborations

Frayman collaborates with talented individuals such as Einaras Von Gravrock and Robert Beatty. Their combined expertise fosters an environment of innovation and creativity, leading to the development of cutting-edge technologies.

Conclusion

Yuri Frayman's contributions to network security through his patents and collaborative efforts highlight his significant role as an inventor. His innovative solutions continue to shape the future of technology in protecting networks from malicious threats.

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