Aggregator
This initiative proposes an intelligent cybersecurity data aggregator designed to combat the increasing complexity of threats. The solution will collect, integrate, clean, and semantically enrich data from diverse sources (logs, alerts, IoCs, reports, threat intelligence) to create high-quality datasets. These datasets will feed Large Language Models (LLMs) and other advanced AI to enable the identification of complex and contextual patterns, significantly enhancing threat detection and response in SOCs.
May 31, 2025
Agent
This project develops an intelligent agent powered by Large Language Models (LLMs), specifically trained on ransomware data and integrated with existing security platforms. It aims to enhance the detection, contextual analysis, and response to ransomware attacks, making Security Operations Centers (SOCs) more agile and adaptive against the complexity and polymorphism of modern threats.
May 31, 2025
Identification and Interpretation of Malicious User Behavior and Cybercrime-Related Deviations
It focuses on detecting complex, hidden behavioral deviations and identifying the root causes of anomalous employee behavior, addressing the limitations of current multi-dimensional analysis methods.
Jul 1, 2024