Chad Hiestand

Title: Chad Hiestand: Innovator in Machine Learning-Based Guardrail Policies

Introduction

Chad Hiestand is a notable inventor based in Winfield, IL (US). He has made significant contributions to the field of machine learning, particularly in the deployment of guardrail policies for server protection. His innovative approach combines various machine learning models to enhance server security.

Latest Patents

Chad Hiestand holds a patent for a system that utilizes machine learning to assess and deploy guardrail policies on servers. The patent, titled "Machine learning-based deployment of guardrail policies," describes a system that can receive a guardrail policy request and execute a fingerprint clustering machine learning model. This model generates cluster data to identify virtual machine clusters on a server. The system also employs a traffic discovery machine learning model to produce a confidence score regarding the potential impact of deploying the guardrail policy. Additionally, a risk assessment machine learning model evaluates the application type data to generate a risk assessment score. Ultimately, the system determines whether the guardrail policy should be deployed based on these scores.

Career Highlights

Chad Hiestand is currently employed at AT&T Intellectual Property I, L.P., where he continues to innovate in the realm of technology and machine learning. His work focuses on enhancing server security through advanced machine learning techniques.

Collaborations

Chad collaborates with talented individuals such as Brian Miles and Anthony Librera, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Chad Hiestand's contributions to machine learning and server security exemplify the impact of innovative thinking in technology. His patent reflects a commitment to enhancing server protection through advanced methodologies.