Joachim Andres

Title: Joachim Andres and Edge-Based Machine Learning for Network Security.

Introduction

Joachim Andres is an inventor associated with Seyssins, France, and Ping Identity International, Inc. His patent work addresses how to identify and limit malicious or probing network requests before they consume protected application resources.

Latest Patents

The provided information lists one patent for Andres: Intercepting Worthless Requests at the Network Edge Using Machine Learning. The technology uses an identity gateway positioned at a network edge to screen requests seeking an authorized session. Before an authentication or authorization process begins, a machine-learning classifier evaluates request features and produces a score indicating whether the 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 triggering resource-consuming interactions with the protected application. Andres is credited with 1 patent.

Career Highlights

Andres is associated with Ping Identity International, Inc., a company focused on identity and access management. His listed patent reflects an approach to improving application security and efficiency by filtering suspicious traffic before it reaches resource-intensive authorization processes.

Collaborations

The provided information names Wayne Anthony Morrison and Guillaume Rene Sauthier as Andres’s coworkers. Their specific roles in the patent or related work are not specified.

Conclusion

Joachim Andres’s listed invention applies machine learning at the network edge to help protect applications from malicious and probing requests while reducing unnecessary processing.