For the Inventor, By the Inventor

Enter assignee name

Boise, ID, United States of America

Kount Inc.

USPTO Granted Patents = 48

% Expired Patents = 8.3

CIPO Patents = 2

EPO Patents = 2

Trademarks = 5

Forward Citations = 1,608

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11 inventors (with patents filed for the assignee):

Timothy P Barber (36 out of 45 patents)

Matthew Lewis Jones (6 out of 6 patents)

Nathan Daniel Monnig (5 out of 6 patents)

4. Joshua Michael Johnston (4 out of 4 patents)

5. Lewis De Payne (3 out of 3 patents)

6. Arthur Jacob Putnam (3 out of 3 patents)

7. Divyanshu Rohit Murli (2 out of 2 patents)

8. James Gregory Davis (1 out of 1 patent)

9. Christopher John Galli (1 out of 1 patent)

10. Andrew Nader Rafla (1 out of 1 patent)

11. Samuel Ward Schrader (1 out of 1 patent)

Core Competencies:

Proof-Of-Work

Machine Learning

Identity Data

Clickstream Tracking

Email Legitimacy

Anomaly Detection

User Authentication

Online Fraud Detection

Digital Credentials

Consumer Click-Through

Session Establishment

Data Protection

48 patents: Sort by Forward Citations

1. 12519825 - Proof-of-work techniques for validating online activities (2026-01-06),

2. 12368748 - Machine-learning techniques for detection of unauthorized access of interactive computing environment functions (2025-07-22),

3. 12348542 - Techniques for identity data characterization for data protection (2025-07-01),

4. 12335276 - Exponentially smoothed categorical encoding to control access to a network resource (2025-06-17),

5. 12323447 - Techniques for clickstream tracking across browser tabs (2025-06-03),

6. 12294606 - Techniques for determining legitimacy of email addresses for online access control (2025-05-06),

7. 12200003 - Network security techniques comparing observed distributions to baseline distributions (2025-01-14),

8. 12192222 - Techniques for efficient network security for a web server using anomaly detection (2025-01-07),

9. 11930034 - Techniques for determining legitimacy of email addresses for online access control (2024-03-12),

10. 11777972 - Network security techniques comparing observed distributions to baseline distributions (2023-10-03),

11. 11675868 - Dynamic service worker code for storing information in web browser (2023-06-13),

12. 11658994 - Techniques for efficient network security for a web server using anomaly detection (2023-05-23),

13. 11176573 - Authenticating users for accurate online audience measurement (2021-11-16),

14. 11176200 - Fast component enumeration in graphs with implicit edges (2021-11-16),

15. 10679216 - Online machine data collection and archiving process (2020-06-09),

Company Overview

Kount Inc., based in Boise, ID, specializes in advanced fraud detection and prevention solutions. The company leverages machine learning and identity data characterization to enhance network security and ensure email legitimacy. Kount's technology focuses on anomaly detection and clickstream tracking, enabling businesses to authenticate digital credentials effectively. By providing comprehensive insights into user behavior, Kount empowers organizations to mitigate risks associated with online transactions and improve overall security posture.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 13 2026

48 Patents

#11 in Boise, ID

#22 in Idaho

#7,284 in US

#14,550 in the World

Boise, ID, United States of America

Kount Inc.

Forward Citations = 1,608

11 inventors:

Timothy P Barber (36 out of 45 patents)

Matthew Lewis Jones (6 out of 6 patents)

Nathan Daniel Monnig (5 out of 6 patents)

4. Joshua Michael Johnston (4 out of 4 patents)

5. Lewis De Payne (3 out of 3 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Kount Inc.. Retrieved from https://idiyas.com/company/kount

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]

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