Renaud Deraison

Title: Innovator Spotlight: Renaud Deraison

Introduction:

Renaud Deraison, a resident of New York, NY, is a prolific inventor with an impressive portfolio of 11 patents. His innovative work in cybersecurity has significantly contributed to the field, particularly in the development of techniques for predicting cyber risks using machine learning algorithms.

Latest Patents:

1. Rule-based assignment of criticality scores to assets and generation of a criticality rules table: Deraison's patent involves a system that assigns criticality scores to assets in a managed network based on predefined rules and machine learning. This system helps in assessing the level of risk in case of a security breach.

2. Predicting cyber risk for assets with limited scan information using machine learning: This patent focuses on training a machine learning model to predict cyber risks of assets without the need for deep scanning. By utilizing this innovative approach, cyber risks can be effectively analyzed and managed.

Career Highlights:

Deraison has made significant contributions to the cybersecurity industry through his work at Tenable, Inc. and Tenable Network Security, Inc. His expertise in developing advanced security solutions has helped organizations enhance their defense mechanisms against cyber threats.

Collaborations:

Throughout his career, Deraison has collaborated with notable professionals in the field of cybersecurity, including Ron Gula and Vincent Gilcreest. These collaborations have led to the development of groundbreaking technologies and methodologies for improving cybersecurity practices.

Conclusion:

Renaud Deraison's dedication to innovating in the field of cybersecurity is evident through his patented technologies and successful career at renowned organizations. His contributions have not only advanced the field of cybersecurity but have also enhanced the resilience of organizations against cyber threats.