Cybersecurity, Computer Networks and Machine Learning

Consulenza strategica e formazione nella Cybersecurity

 

Network Security, IoT, Cloud Computing: da più di un decennio studiamo le tecnologie leading-edge in questo campo a fianco di istituzioni universitarie, centri di ricerca ed aziende spin-off.

La nostra esperienza più che decennale nella progettazione e nella gestione di infrastrutture informative e complesse e di soluzioni avanzate di sicurezza ci permette oggi di offrirvi  una solida consulenza indipendente nell’ambito dei servizi IT.

 

Servizi di sicurezza informatica

Progettiamo l’infrastruttura di rete, ma implementare le opportune policy di sicurezza, anche ben combinate con le best practices del settore, non basta per dormire sonni tranquilli. Cubit vi offre servizi avanzati, in grado di proteggere la vostra infrastruttura dagli attacchi appositamente ideati per sfruttare le vulnerabilità specifiche della rete. Il nostro servizio di Security Assessment, eseguito periodicamente, vi permette di comprendere chiaramente il livello di sicurezza della vostra rete ed implementare rapidamente le eventuali contromisure.

Formazione

La solidità delle nostre esperienze e conoscenze ci permette di offrirvi attività di formazione di altissimo livello, in un processo di trasferimento tecnologico veloce ed efficace. Con Cubit potete garantirvi un aggiornamento costante sulle tecnologie e sulle tematiche più innovative nell’ambito delle reti di telecomunicazioni e della sicurezza informatica. Per essere sempre più competitivi, arrivando prima degli altri.

Ogni nostro corso può essere customizzato – sia per gli argomenti che per la durata – a partire dalle vostre reali esigenze.
Definiamo insieme a voi i vostri bisogni specifici, per rispondere esattamente a quelli. Questo è il sommario dei corsi che proponiamo. Per il programma dettagliato scrivete una email a marketing@cubitlab.com. E non esitate ad esporci richieste diverse. Perché ogni rete è diversa dall’altra, ed anche le risposte devono essere tailor-made.

  • Securing an Enterprise Network: from attack prevention to detection and mitigation. This course allows the system/network administrators to understanding the main pillars of network security, starting from the fundamental concepts of network security, and cryptography, and then focusing on the methods for securing an enterprise network.
  • Fundamentals of Deep Learning and Reinforcement Learning. Machine Learning (ML) is defined as the “Field of study that gives computers the ability to learn without being explicitly programmed” (Arthur Samuel, 1959) and in the last years ML, as a part of AI (Artificial Intelligence) has emerged as a key building block for a wide set of tools in any technological field. This course wants to provide the operators first with the basic ideas of ML, to the focus on an overview of the main Deep Learning and Reinforcement Learning techniques and methods, from the basics (e.g., what a neuron is) to the advanced models.
  • Advanced Networking for Future Internet. This course covers a set of advanced topics in computer networks, allowing the network administrator s to keep themselves updated with the most recent developments in computer networks. The focus is indeed on principles, architectures, and protocols used in modern networked systems, such as the Internet itself, Software Defined Networking, high performance networks, data center networks, and Internet of Things (IoT).
  • Internet of Things: Technologies, Protocols, Applications, and Security. An always growing number of physical objects are being connected to the Internet at an unprecedented rate realizing the idea of the Internet of Things (IoT). This course is destined to the network administrators and other professional figures that want to keep pace with the most recent technologies, architectures, and protocols used in the IoT. This course will provide an overview of the IoT with emphasis on enabling technologies, protocols, applications, and security issues.
  • Advance Ethical Hacking: from Passive to Active Network Security. This course is intended for network and security administrators who wants to be able to properly contrast the continuously emerging new network attacks. Indeed, with this course they will learn, not only of the security algorithms and protocols, but also how to to properly design and assess the security level of a network.
  • Modern Network Security: from “classical” to active network security and blockchain. Network security is becoming more and more challenging as new communication paradigms and architectures (e.g., IoT, SDN) are deployed all over the world. In a such a context, the course allows the network administrators to keep pace with the most recent topics in network security, such as intrusion prevention, active security, and blockchain-based network security.
  • Industrial Internet of Things: Technologies and Protocols. This course will provide the network administrators with an overview of the IoT with emphasis on enabling technologies, protocols, applications, and security issues. In more detail, it will discuss the new protocols and architectures emerged as a solution to the main limitations of the classical” Internet (e.g., the incapability of efficiently scale as the number of hosts/users significantly increases, lack of flexibility and adaptive control), as well as the security challenges that emerge in the new IoT paradigm. A special focus will be on the specific characteristics of the IIoT, such as the integration of SCADA systems and CyberPhysical Systems (CPSs).
  • Machine and Deep Learning for CyberSecurity. Recently Machine Learning (ML) and Deep Learning (DL) have been successfully applied to cyber security also, where excellent results have been achieved in several domains, such as the detection of network attacks. This course aims at providing the security administrators with some insights on the application of such techniques to actual problems, also focusing on the main gaps in ML, such as the attacks to ML techniques.

CUBIT. Progetto C​ubus finanziato nel quadro del POR FESR Toscana 2014-2020