GATEWATCHER
Kévin Joie has a diverse work experience. Kévin is currently working as a Major Account Manager at Gatewatcher. In addition, they have co-created a company called Ouiniz.
Previously, they were the CEO & Co-Founder at SAS Data Innovation from January 2016 to January 2021. During this time, they founded another company called Digital Innovation France in August 2018 and served as its Founder until December 2020.
Before that, they worked as a Business Unit Manager - Healthcare at Oodrive, where they managed a secure French cloud platform for managing and sharing sensitive data. Kévin also worked as a Business Manager at e-P6 Consulting and Channel Manager at Panda Security.
Their earlier experiences include working as a Sales Development Specialist at Boulanger and as a Web Developer at CNAV, where they created an extranet portal using technologies such as PHP, HTML, Dreamweaver, Flash, and Photoshop.
Overall, Kévin Joie has a strong background in account management, co-creation, CEO and co-founding roles, business management, and web development.
Kévin Joie started their education in 2003 at Université Paris-Est Marne-la-Vallée, where they pursued a degree in Réseaux, Informatique et Multimédia. Kévin completed their studies in 2005 and then joined Beijing Normal University in 2006 for a brief period to obtain a Certificate in Mandarin, focusing on Culture et Langue Chinoise.
In 2007, Kévin continued their education at Université Sorbonne Nouvelle, where they obtained a Licence de Commerce in Commerce International. Kévin completed this degree in 2009.
Aside from their formal education, Kévin also holds several additional certifications. In 2010, they became a Cyber Security Sales Specialist, certified by Panda Security. In 2013, they obtained an Etat de l'art Business Intelligence certification from Capgemini Institut. Finally, in 2015, they acquired a Cloud Santé Spécialiste certification from Numergy.
Overall, Kévin Joie's education history demonstrates their specialization in the fields of commerce, international business, networking, computer science, multimedia, Mandarin language, and cyber security.
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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.