Scalable threat intelligence platform that collects and analyzes data for the detection of emerging threats and simulates cyberattacks in controlled environments to extract knowledge:

• Integrate and manage threat intelligence data from diverse sources using big data technology for ingestion and an elastic search engine to feed intelligent systems.
• Implement an intelligent system to analyze and detect tactics and procedures of cyberattacks. Includes modules for pattern recognition in social networks, network monitoring, and advanced threat detection.
• Implement a cyberattack simulation engine using deep reinforcement learning and multi-agent systems. It will simulate realistic cyberattack scenarios to improve detection and response capabilities.

SecurSentry is a comprehensive cybersecurity solution for advanced security information and event management powered by artificial intelligence.

• Centralization of events and logs.
• Correlation.
• Anomaly detection through modeling of normal asset behavior.
• Automated mitigation.

The SCRIN project focuses on improving cybersecurity for the Internet of Things (IoT). Its goal is to strengthen the robustness and resilience of IoT devices, infrastructures, and networks against cyberattacks.

• Research the reference certification regulatory framework to create a cybersecurity-based IoT ecosystem architecture.
• Investigate the most frequent threats, attacks, and patterns in IoT and IIoT ecosystems.
• Research and design a pilot IoT laboratory and carry out stress testing of security mechanisms.
• Develop simulation and artificial intelligence techniques for anomaly detection and response.