INNOSOC
Multi-tenant cybersecurity operations center designed as an open cloud service
with machine learning elements
Project duration
APRIL 2024 – MARCH 2026
Partners
FRI UNIZA │BRAIN:IT
Main objective
The main objective of the INNOSOC project is to design an open, multi-tenant security operations center (SOC) solution that will be provided as a cloud / container service with flexible performance and with modules for the detection and prediction of anomalies using machine learning and neural networks.
Sub-objectives
Design of a technological solution
for operating the SOC service using virtualized solutions, developed up to the TRL3 level
Design of an intelligent system
for monitoring technological resources and services
Design of the architecture
of the innovative elastic INNOSOC service itself as an integration of open solutions and components
Design of suitable algorithms
of machine learning, applying deep neural networks to the task of detecting and predicting security and operational anomalies
Creation of a platform for sharing
of acquired knowledge in accordance with the implemented project and the principles of open science
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Growing demands on cybersecurity
Micro, small and medium-sized enterprises and smaller public administration institutions that do not have sufficient financial resources or experts need affordable security services that will enable them to ensure cyber protection in accordance with the Act on Cybersecurity or the forthcoming NIS2 Directive.
What INNOSOC will bring
An innovative open cloud solution for the SOC (Security Operating Center) service for the purpose of improving the cybersecurity of an organization, with elements of automation and deep machine learning (DML – Deep Machine Learning).
Smaller public and state administration institutions
Educational and research institutions
Micro, small and medium-sized enterprises and organizations
Non-profit organizations and civic associations
End users and the wider public
Expert community, but also the general public
Who will benefit from the project outputs?
Partial outputs
Final reports, reports from experiments and testing, guides and updated complete project documentation.
