GATEWATCHER
Clément Imbert has a diverse work experience in various roles and industries. Clément began their career in 2012 at Altergis Ingénierie as a Chargé d'études, where they conducted preliminary studies for a ground-mounted photovoltaic power plant, mapped the heating network of residential buildings for renovation purposes, and worked on the construction project of a retirement home. In 2014, they worked as an Assistant Ingénieur en HQE at Pénicaud Green Building, where they focused on modeling a college using dynamic thermal simulation software and contributed to the certification process of an office building according to the NF HQE™ Bâtiments Tertiaires - Neuf standard. Clément then joined ADEME PACA et Envirobat BDM as a Chargé d'études in 2015, evaluating a collective housing rehabilitation program and preparing case studies for exemplary rehabilitation operations. From 2016 to 2020, Clément worked as an Ingénieur recherche et développement at ECOTEN s.r.o., specializing in microclimate modeling in urban environments using Solene-microclimat software and addressing urban heat island issues. Prior to their current position, they were a Développeur Python Backend at Naxos from 2020 to 2022, responsible for creating and maintaining Python APIs for Century 21's websites and applications, managing PostgreSQL databases, and undertaking various API maintenance and improvement tasks, including the Django email sending API and other service-specific APIs. Clément is currently working at GateWatcher as a Développeur backend Python, starting in September 2022.
Clément Imbert began their education in 2010 at IUT Aix-Marseille, where they obtained a Diplôme Universitaire de Technologie in Génie Thermique et Energies in 2012. Clément then enrolled at La Rochelle Université from 2012 to 2014 and earned a Licence Génie Civil with a focus on Ingénierie du bâtiment. In the following years, from 2014 to 2016, Clément attended La Rochelle Université once again and completed a Master Sciences pour l'ingénieur in Ingénierie du Bâtiment, with a specialization in Gestion et Intégration de l'efficacité énergétique et des énergies renouvelables. In 2014, Clément also had a brief experience at Czech Technical University in Prague, although the degree name and field of study were not specified in the provided information.
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GATEWATCHER
Gatewatcher is the first platform for digital breach detection (Intrustion Detection System) to be developed in France.Our Trackwatch technology detects the most advanced threats, made with the most crafted exploitation methods (polymorphism, obfuscation, encoding, ROPchain…) and the threats based on all types of malicious files (ransomware,cryptolocker…).Our platform was made for all types of organizations wishing to be equipped with the most efficient detection tools. Gatewatcher also meets the ANSSI hardening requirements for the Military Planning Act in order to protect all sensitive and strategic organizations.With over two hundred probes deployed worldwide, Gatewatcher offers unrivalled detection capabilities to its customers by analysing the most complex cyberattacks.The project was started in 2015 by engineer, Jacques de La Rivière, and security expert, Philippe Gillet. Gatewatcher’s team is composed of experts in security, networks, systems, encryption and machine learning. During the 2016 edition of the FIC (Forum International Cybersecurity), Gatewatcher was awarded the French Cybersecurity accreditation rewarding innovation in the cyber defence field. It’s also being certified by ANSSI (French Cybersecurity Agency) and meets the requirement of the Military Planning Act.Gatewatcher is based on unique technology in weak signal analysis and machine learning, targeting abnormal behaviours by running a dynamic analysis of weak signals from inside network flows. Gatewatcher is the only product on the market with a dual approach to the threat in the exploration phase, with deep data capture and optimal analysis: it auto-adapts to polymorphic threats, in order to guarantee a strong accuracy.Our technology, Trackwatch, uses four next-generation engines:- Sigflow: formal and statistical analysis, anomaly detection.- Codebreaker: recognises APTs stemming from encoded Shellcodes / ROP (Return Oriented Programming) and JOP (Jump Oriented Programming)- Malcore: real-time heuristic and static multi-engine malware analysis. Malcore is able to analyse more than 6 million files every 24 hours.- Retroact: enables the empirical re-analysis of potentially malicious files, several days after their appearance, with new signatures and heuristic methods.