The BV TECH Group
Companies
People
Million € of revenues
%
R&D
“The Research Project to guarantee Sovereignty and leadership in the field of ICT Technologies and Cybersecurity”
Raffaele Boccardo – CEO BV TECH
Innovative cybersecurity solutions
SOC
Monitoring and analysis of Cybersecurity events..
SIEM
Collection and analysis of security information.
Cyber Range
Simulation of network and security architectures.
NGFW
Next Generation High Performance Modular Firewall.
NIDPS
Network probe with Deep Packet functionality Inspection (DPI) and Intrusion Detection / Prevention System (IDS/IPS).
Asset Inventory
System for administration, alarm management, software distribution and vulnerability testing of security applications.
Situation Room
Platform for advanced management of security information and the creation of an advanced “Cyber Operational Picture”.
Passion and commitment towards innovation
Women and men with interdisciplinary skills serving the reconstruction of the ICT industry to face the challenges of Cybersecurity.
An inclusive working environment to cultivate people’s potential and encourage their growth and direct participation in the construction of value.
Consolidated collaboration with the best Italian and International Universities and Research Institutes for the selection, inclusion and appreciation of the best talents.
Continuous training and professional development courses.
Direct participation in major Digital Transformation projects in Italy and around the world.
News
The “FROG” research report was published in volume 257 – 2/2025 of Computer Networks
12/12/2024
The 20 research reports produced to date within the activities provided for by the “Cybersecurity and SOC Product Suite” Programme Contract, published in scientific journals or presented at national and international conferences, have been exceeded.
The research report “FROG: a Firewall Rule Order Generator for faster packet filtering” has been accepted for Publication
2/12/2024
The research report “”FROG: a Firewall Rule Order Generator for faster packet filtering,” by colleagues Antonio Coscia, Antonio Maci and Nicola Tamma, has been accepted for publication in Computer Networks
Research report presentation at the 4th IEEE International Conference on AI in Cybersecurity
21/11/2024
The research report “MAGICIAN: Malware classification Approach through Generation Image using Conditional and wassersteIn generative Adversarial Network variants” has been accepted for presentation at the “4th IEEE International Conference on AI in Cybersecurity (ICAIC).”
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Project funded by the European Regional Development Fund Puglia POR Puglia 2014 - 2020 - Axis I - Specific Objective 1a - Action 1.1 (R&D), and with the support of the University of Bari and the Massachusetts Institute of Technology (MIT).