
Research and development of advanced artificial
intelligence solutions for the detection of cyber
threats and defense against sophisticated attacks

Project Objectives
Main Objective of the Project
The main objective of the project is to investigate methods, approaches, and tools for the effective detection of advanced cyberattacks employing specific adversarial tactics—namely exploitation, lateral movement, and privilege escalation—in accordance with the MITRE ATT&CK framework. Particular emphasis is placed on identifying the limitations of selected detection methods and proposing improvements to enhance their accuracy and efficiency in real-world operational environments.
The project focuses on the systematic examination of techniques, sub-techniques, and procedures (TTPs) used within these attack tactics, the identification of their distinguishing characteristics, the analysis of existing detection approaches, and the formulation of recommendations aimed at improving the accuracy, efficiency, and adaptability of detection mechanisms across diverse operational environments.
Specific Project Objectives
Analysis of Attack Techniques
Analysis of techniques, sub-techniques, and procedures (TTPs) based on the MITRE ATT&CK framework, including the identification of limitations in existing detection mechanisms.
Behavioral Analysis of Attacks and Identification of Detection Parameters
Identification of indicators of compromise and behavioral patterns through the analysis of forensic and network data.
Research on Models and Methodologies for Attack Detection
Research and development of models leveraging artificial intelligence and machine learning for the detection of advanced cyberattacks.
Identification of Limitations and Detection Optimization
Optimization of detection models with a focus on accuracy, sensitivity, and computational efficiency under real-world conditions.
Validation of Detection System Foundations
Experimental validation of detection approaches in controlled and realistic testing environments.
Capacity Building and Knowledge Transfer into Educational Curricula
Integration of project outcomes into cybersecurity education and academic curricula.
Project Duration
14/2026
Project Start
210/2029
Project End
News
Project NFP401101C360: Research and Development of Advanced Artificial Intelligence Solutions for...The research activities of project NFP401101C360: Research and Development of Advanced Artificial...The project Research and Development of Advanced Artificial Intelligence Solutions for the...
Co-financed by the European Union through the Slovakia Programme under project No. NFP401101C360: Research and development of advanced artificial intelligence solutions for the detection of cyber threats and defense against sophisticated attacks.





