Bengaluru, India

Avinash Kolluru

USPTO Granted Patents = 3 

Average Co-Inventor Count = 3.6

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2020-2024

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3 patents (USPTO):Explore Patents

Title: Avinash Kolluru: Innovator in API Technology

Introduction

Avinash Kolluru is a prominent inventor based in Bengaluru, India, known for his contributions to the field of application programming interfaces (APIs). With a total of three patents to his name, he has made significant strides in enhancing the security and functionality of API systems.

Latest Patents

Kolluru's latest patents include a system for session-based anomaly detection. This innovative system intercepts and analyzes API traffic, identifying correlations between different components of the traffic to detect anomalous behaviors. By monitoring API requests and responses, the system generates correlation data for user sessions, which is then compared to subsequent traffic to trigger alerts for any anomalies. Another notable patent is the automatic generation of an API interface description. This system analyzes APIs to automatically create descriptions based on the behavior of requests and responses. It learns characteristics and patterns in the data, allowing for the identification of anomalies associated with users lacking proper credentials.

Career Highlights

Throughout his career, Avinash Kolluru has worked with notable companies such as Traceable Inc. and Cisco Technology, Inc. His experience in these organizations has allowed him to develop and refine his innovative ideas in API technology.

Collaborations

Kolluru has collaborated with talented individuals in the field, including Shubham Jindal and Binod Pankajakshy Gangadharan. These collaborations have contributed to the advancement of his projects and the development of new technologies.

Conclusion

Avinash Kolluru's work in API technology showcases his innovative spirit and dedication to improving system security and functionality. His patents reflect a deep understanding of the complexities of API interactions and the importance of anomaly detection in today's digital landscape.

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