For the Inventor, By the Inventor

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San Francisco, CA, United States of America

Riverbed Technology, Inc.

USPTO Granted Patents = 224

% Expired Patents = 3.6

EPO Patents = 8

Trademarks = 6

Forward Citations = 3,622

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238 inventors (with patents filed for the assignee):

Steven McCanne (43 out of 64 patents)

David Tze-Si Wu (28 out of 52 patents)

Michael Demmer (26 out of 57 patents)

4. Patrick J Malloy (25 out of 38 patents)

5. Nitin Gupta (19 out of 24 patents)

6. Kand Ly (17 out of 23 patents)

7. Alfred Landrum (17 out of 20 patents)

8. Alain J Cohen (16 out of 62 patents)

9. Massimiliano Antonio Poletto (16 out of 24 patents)

10. Pradeep Singh (12 out of 28 patents)

11. James Mark Shaw (11 out of 16 patents)

12. Raghavendra B Uppalli (10 out of 12 patents)

13. MArk Stuart Day (9 out of 38 patents)

14. Andrew Ratin (9 out of 9 patents)

15. Antoine D Dunn (8 out of 13 patents)

Core Competencies:

Network Optimization

Secure Communications

Traffic Analysis

Monitoring Solutions

Data Transfer Performance

Ransomware Detection

Anomaly Detection

Virtualized Data Storage

Path Selection

Distributed Correlation

Network Topology

Machine Learning

224 patents: Sort by Forward Citations

1. 12724685 - Analytics-correlation-runbooks pipeline for surfacing actionable insights (2026-09-01),

2. 12487995 - Service for querying monitoring data (2025-12-02),

3. 12353277 - Determining commonalities in devices by using a chi-squared statistical test (2025-07-08),

4. 12340188 - Zero modification export hooking (2025-06-24),

5. 12182590 - Target process injection prior to execution of marker libraries (2024-12-31),

6. 12061628 - Computing a digital experience index (2024-08-13),

7. 11977466 - Using machine learning to predict infrastructure health (2024-05-07),

8. 11831775 - Using secure tokens for stateless software defined networking (2023-11-28),

9. 11809881 - Target process injection prior to execution of marker libraries (2023-11-07),

10. 11748475 - Detection and recovery from ransomware infections (2023-09-05),

11. 11593319 - Virtualized data storage system architecture (2023-02-28),

12. 11477026 - Using secure tokens for stateless software defined networking (2022-10-18),

13. 11232227 - Data leak prevention using content based segmentation scanning (2022-01-25),

14. 11210158 - Automated problem diagnosis on logs using anomalous telemetry analysis (2021-12-28),

15. 11201809 - Network topology generation using traceroute data (2021-12-14),

Company Overview

Riverbed Technology, Inc. specializes in network optimization solutions that enhance the performance and reliability of data transfer across various environments. Headquartered in San Francisco, CA, the company focuses on secure communications, traffic analysis, and monitoring solutions to ensure efficient network operations. Riverbed's technologies are designed to improve data transfer performance, detect ransomware and anomalies, and support virtualized data storage, making it a key player in the evolving landscape of network management.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 13 2026

224 Patents

#31 in San Francisco, CA

#404 in California

#1,869 in US

#3,812 in the World

San Francisco, CA, United States of America

Riverbed Technology, Inc.

Forward Citations = 3,622

238 inventors:

Steven McCanne (43 out of 64 patents)

David Tze-Si Wu (28 out of 52 patents)

Michael Demmer (26 out of 57 patents)

4. Patrick J Malloy (25 out of 38 patents)

5. Nitin Gupta (19 out of 24 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Riverbed Technology, Inc.. Retrieved from https://idiyas.com/company/riverbed-technology

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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