„Fred is a very skilled technical manager with a great capability to understand and find solutions on challenging and complex problems. I saw him adapting to different positions, from driving the PMO to setting and handling a big DevOps department. It was a pleasure to work with Fred at KS!“
Frederic Thabaret-Diebold
Lausanne, Waadt, Schweiz
2031 Follower:innen
500+ Kontakte
Aktivitäten
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𝐖𝐡𝐚𝐭 𝐒𝐡𝐨𝐮𝐥𝐝 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐋𝐞𝐚𝐝𝐞𝐫𝐬 𝐑𝐞𝐚𝐥𝐥𝐲 𝐓𝐚𝐤𝐞 𝐅𝐫𝐨𝐦 𝐭𝐡𝐞 𝐌𝐲𝐭𝐡𝐨𝐬 𝐇𝐲𝐩𝐞? There has been a lot of noise…
𝐖𝐡𝐚𝐭 𝐒𝐡𝐨𝐮𝐥𝐝 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐋𝐞𝐚𝐝𝐞𝐫𝐬 𝐑𝐞𝐚𝐥𝐥𝐲 𝐓𝐚𝐤𝐞 𝐅𝐫𝐨𝐦 𝐭𝐡𝐞 𝐌𝐲𝐭𝐡𝐨𝐬 𝐇𝐲𝐩𝐞? There has been a lot of noise…
Beliebt bei Frederic Thabaret-Diebold
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Heureuse d’annoncer que j’ai entamé un nouveau chapitre professionnel à titre de directrice adjointe au bureau de planification et de gestion des…
Heureuse d’annoncer que j’ai entamé un nouveau chapitre professionnel à titre de directrice adjointe au bureau de planification et de gestion des…
Beliebt bei Frederic Thabaret-Diebold
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SIEMs have been promising to surface the full attack picture for two decades. Yet, most post-mortems still end with an analyst manually rebuilding…
SIEMs have been promising to surface the full attack picture for two decades. Yet, most post-mortems still end with an analyst manually rebuilding…
Beliebt bei Frederic Thabaret-Diebold
Patente
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TECHNIQUES FOR CONTROLLING ACCESS TO SEGMENTED DATA
Ausgestellt am WO/2021/136963
Patent anzeigenTechniques for controlling access to segmented data of a plurality of users that is requested by at least one data consumer device. In response to conditions specified in communications between at least one data aggregator system and the at least one data consumer device, information of a number of users meeting specified search criteria are shared (e.g., for a limited time). Use of the data in violation of the specified conditions may trigger penalties under a smart contract on a distributed…
Techniques for controlling access to segmented data of a plurality of users that is requested by at least one data consumer device. In response to conditions specified in communications between at least one data aggregator system and the at least one data consumer device, information of a number of users meeting specified search criteria are shared (e.g., for a limited time). Use of the data in violation of the specified conditions may trigger penalties under a smart contract on a distributed ledger or blockchain.
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TECHNIQUES FOR INCENTIVIZED INTRUSION DETECTION SYSTEM
Ausgestellt am WO/2021/019429
The present disclosure relates generally to security solutions. More specifically, techniques (e.g., systems, methods, and devices) are provided to implement an incentivized-based intrusion detection system to detect malicious acts against an asset. The incentive may lure or facilitate the actor to provide information detecting malicious actions against an asset.
Andere Erfinder:innenPatent anzeigen -
Method to identify at least one content within a data stream
Angemeldet am EU PCT/IB2012/054570
The present invention concerns a method to identify at least one Content within a Data Stream, said Content being needed by a given Application executed on a Test Device. According to the invention, it is proposed a method to identify at least one Content within a Data Stream, said content being needed by a given Application executed on a test device, this method comprising the steps of : a) capturing at least one Data Stream, b) analysing and filtering the Data Stream by : c) isolating at…
The present invention concerns a method to identify at least one Content within a Data Stream, said Content being needed by a given Application executed on a Test Device. According to the invention, it is proposed a method to identify at least one Content within a Data Stream, said content being needed by a given Application executed on a test device, this method comprising the steps of : a) capturing at least one Data Stream, b) analysing and filtering the Data Stream by : c) isolating at least one Test Stream of the Data Stream and disabling the other sub- streams, applying the Test Stream to the Application so as to produce an output (R), d) applying the output to a Comparator (comp), said comparator receiving a reference (R') and determining by the comparator a distance (D) between the Application output (R) and the reference (R'), in case that the distance (D) is below a predefined level (L), repeating the step c) with a new Test Stream selected among the previous Test Stream, the new Test Stream being a subset of the previous Test Stream, in case that the distance (D) is above or equal a second predefined level (L2), repeating the step c) by selecting a different Test Stream from the Data Stream not already applied to the Application.
Andere Erfinder:innenPatent anzeigen
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Jetzt anmelden und ansehenWeitere Aktivitäten von Frederic Thabaret-Diebold
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AI will not fix the SOC if the underlying signals are still weak. Too much of the market is still adding new reasoning layers on top of fragmented…
AI will not fix the SOC if the underlying signals are still weak. Too much of the market is still adding new reasoning layers on top of fragmented…
Beliebt bei Frederic Thabaret-Diebold
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I had great discussions with peers at Swiss Cyber AI 2026 in Lugano this week, and had the opportunity to give a talk on real-world vulnerabilities…
I had great discussions with peers at Swiss Cyber AI 2026 in Lugano this week, and had the opportunity to give a talk on real-world vulnerabilities…
Beliebt bei Frederic Thabaret-Diebold
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AI is probably not going to kill MSPs. But it may seriously reset the software vendors serving them. I just published a short post on how AI is…
AI is probably not going to kill MSPs. But it may seriously reset the software vendors serving them. I just published a short post on how AI is…
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Bienvenue à notre nouveau Directeur de la sécurité Nous sommes ravis d'accueillir Jean-Marie Mele au sein du comité de direction de S3NS. Avec près…
Bienvenue à notre nouveau Directeur de la sécurité Nous sommes ravis d'accueillir Jean-Marie Mele au sein du comité de direction de S3NS. Avec près…
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"Après des mois de travail intense, c'est officiel. Fier de lancer Neural ICE avec cette équipe extraordinaire. À ceux qui seront à Insomnihack cette…
"Après des mois de travail intense, c'est officiel. Fier de lancer Neural ICE avec cette équipe extraordinaire. À ceux qui seront à Insomnihack cette…
Beliebt bei Frederic Thabaret-Diebold
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🎤 Speaker Spotlight – Sandra Pichon Join us on 31 March 2026 in Bern for the Women4Cyber Switzerland – Annual General Meeting & Conference. At…
🎤 Speaker Spotlight – Sandra Pichon Join us on 31 March 2026 in Bern for the Women4Cyber Switzerland – Annual General Meeting & Conference. At…
Beliebt bei Frederic Thabaret-Diebold
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🚀 Déploiement de collecteurs de logs en 27 secondes ? C'est désormais possible. Les adversaires se déplacent latéralement dans vos environnements…
🚀 Déploiement de collecteurs de logs en 27 secondes ? C'est désormais possible. Les adversaires se déplacent latéralement dans vos environnements…
Beliebt bei Frederic Thabaret-Diebold
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A big welcome to our newest portfolio addition of our Venture strategy: Qevlar AI AI! The team announced their $30M Series A, co‑led…
A big welcome to our newest portfolio addition of our Venture strategy: Qevlar AI AI! The team announced their $30M Series A, co‑led…
Beliebt bei Frederic Thabaret-Diebold