For the Inventor, By the Inventor

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San Mateo, CA, United States of America

Arkose Labs Holdings, Inc.

Calculating rank

USPTO Granted Patents = 12

Forward Citations = 12

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15 inventors (with patents filed for the assignee):

Ian M Molloy (3 out of 65 patents)

Suresh N Chari (3 out of 62 patents)

Matthew Michael Ford (3 out of 4 patents)

4. Youngja Park (2 out of 56 patents)

5. David Senecal (2 out of 2 patents)

6. Murry Lancashire (2 out of 2 patents)

7. Whitney Constantine (2 out of 2 patents)

8. Ashish Kundu (1 out of 167 patents)

9. Dimitrios Pendarakis (1 out of 75 patents)

10. Kevin John Gosschalk (1 out of 2 patents)

11. Gabrielle Fitzgerald (1 out of 1 patent)

12. James Clark (1 out of 1 patent)

13. Du Li (1 out of 1 patent)

14. Arnab Mukherji (1 out of 1 patent)

15. Luke Stork (1 out of 1 patent)

12 patents: Sort by Forward Citations

1. 12694328 - Automatic generation of training data for anomaly detection using other user's data samples (2026-07-28),

2. 12694088 - Computer challenge systems based on image orientation matching (2026-07-28),

3. 12563037 - Security monitoring utilizing device signature detection (2026-02-24),

4. 12455953 - Computer challenge systems based on object alignment (2025-10-28),

5. 12292950 - Computer challenge systems based on sound recognition (2025-05-06),

6. 12164424 - Double ring cache architecture (2024-12-10),

7. 11748480 - Policy-based detection of anomalous control and data flow paths in an application program (2023-09-05),

8. 11604859 - Method and system for incorporating marketing in user authentication (2023-03-14),

9. 11539697 - Method for controlling access to computer resources utilizing user device fingerprints (2022-12-27),

10. 11444945 - Computer challenge system for presenting images to users corresponding to correct or incorrect real-world properties to limit access of computer resources to intended human users (2022-09-13),

11. 11416599 - Method and system for distinguishing human users from automated agents in a computing environment (2022-08-16),

12. 11227232 - Automatic generation of training data for anomaly detection using other user's data samples (2022-01-18),

Company Overview

Arkose Labs Holdings, Inc. specializes in fraud prevention and account security solutions, focusing on protecting businesses from online threats. The company leverages advanced technology to analyze user behavior and detect anomalies, enabling organizations to safeguard their digital assets effectively. Based in San Mateo, California, Arkose Labs is at the forefront of developing innovative strategies to combat fraud, ensuring a secure online experience for users and businesses alike.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 27 2026

12 Patents

#70 in San Mateo, CA

#6,069 in California

#25,589 in US

#48,235 in the World

San Mateo, CA, United States of America

Arkose Labs Holdings, Inc.

Forward Citations = 12

15 inventors:

Ian M Molloy (3 out of 65 patents)

Suresh N Chari (3 out of 62 patents)

Matthew Michael Ford (3 out of 4 patents)

4. Youngja Park (2 out of 56 patents)

5. David Senecal (2 out of 2 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Arkose Labs Holdings, Inc.. Retrieved from https://idiyas.com/company/arkose-labs-holdings

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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