data_analytics_02_cabecera
Start / End
July 2023 / January 2026
Code
PR-01497
The main objective of the project is to develop an advanced module for threat detection and incident management for ICT infrastructures. This module is designed to learn from the behavior and structure of the infrastructure where it is deployed, adapting cybersecurity technologies based on rules and Machine Learning algorithms to optimize performance and protection for any organization. The solution generates an intelligent knowledge base from data collected by distributed agents within the infrastructure, enabling the training of a Machine Learning model that automatically adjusts the technologies of a SOC (Security Operations Center) to reduce false positives in alert systems.

Furthermore, this project introduces a key innovation by applying artificial intelligence not only for event filtering but also to enhance event correlation and visualization, making interpretation easier for users. This technology enables cybersecurity management to be simple and automatic, eliminating the need for complex interfaces or advanced technical knowledge, ensuring an accessible and efficient user experience.

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Financing
CPP INCIBE
Consortium
Italtel, i2cat, UPC, Apolo