Gabriel Marquet
About Gabriel Marquet
Gabriel Marquet is a Security Researcher with a background in software engineering and a focus on workload protection and threat modeling. He has held various positions in security roles at companies such as VMware, Eclipse by Swiper, and Talend, and he is currently working at Escape.
Work at Escape
Gabriel Marquet currently serves as a Security Researcher at Escape, a position he has held since 2024. His role involves conducting research and developing strategies to enhance security protocols within the organization. He operates in a hybrid work environment based in Paris, Île-de-France, France.
Previous Experience in Security Engineering
Prior to his current role, Gabriel worked at Talend as a Principal Product Security Engineer from 2023 to 2024. He also held the position of Senior Application Security Engineer at Talend from 2021 to 2023. His responsibilities in these roles included overseeing application security measures and implementing best practices to safeguard products.
Internship Experience
Gabriel began his career with internships that provided foundational experience in security and software engineering. He worked as a Security Engineer Intern at VMware in 2018 for five months in County Cork, Ireland. Additionally, he completed a Software Engineer Internship at Eclipse by Swiper in 2017 for four months in Région de Paris, France.
Education and Expertise
Gabriel Marquet holds a Master of Science (MS) in Ingénierie from ESILV - Ecole Supérieure d'Ingénieurs Léonard de Vinci, where he studied from 2013 to 2018. He also studied Computer Engineering at the University of California, Riverside, completing his studies in 2016. His educational background supports his research focus on eBPF for workload protection and threat modeling.
Research Focus and Contributions
Gabriel's research interests include using eBPF for workload protection and creating aggregated views of microservice interactions to improve threat modeling. He engages in analyzing scanners to identify root causes of false positives, thereby reducing noise for development teams. His work also involves investigating the use of SBOM and VEX to facilitate triaging efforts within the open-source community.