Raminder Kaler

Title: Raminder Kaler and Network-Edge Machine Learning

Introduction

Raminder Kaler is an inventor based in Redwood City, California, whose patent work addresses security and efficiency in protecting network applications. His invention uses machine learning to identify potentially malicious or probing requests before they trigger authentication or other resource-intensive interactions.

Latest Patents

Kaler is associated with 1 patent: “Intercepting Worthless Requests at the Network Edge Using Machine Learning.” The patent describes an identity gateway positioned at a network edge that screens requests to establish authorized sessions. A machine-learning classifier evaluates request features and produces a score indicating whether a request is likely to be worthless. The gateway compares that score with a threshold and can limit qualifying requests at the edge, preventing them from initiating an authorization journey or consuming protected application resources.

Career Highlights

Kaler is associated with Ping Identity International, Inc. His patented work focuses on applying machine learning at the network edge to help protect applications and reduce unnecessary processing.

Collaborations

Kaler’s named coworkers include Wayne Anthony Morrison and Guillaume Rene Sauthier. Their inclusion here reflects the supplied information and does not establish a specific role in the patent.

Conclusion

Raminder Kaler’s patent presents a network-edge approach to screening suspicious or unproductive requests before they consume protected application resources.