PERUN

To develop AI-based methods for detecting advanced threats like
stegomalware, ransomware, and malware using encrypted communications. This includes creating custom malware
analysis sandboxes network intrusion detection systems (NIDS) with explainable AI (xAI) frameworks.

To utilise trusted hardware and software systems, such as RISC-V technology and Open FPGA Frameworks, to design resilient systems from the ground up.

Create systematic and automated approaches for
risk assessment, including the development of new risk assessment methodologies like cyber-ranges and dynamic
security assessments. This includes evaluating vulnerability combinations and critical paths in cybersecurity.

Implement AI/ML methodologies such as predictive analytics, anomaly detection, and
data fusion to provide predictive security services. This includes continuous security assessments and the integration
of AI/ML solutions with existing systems and workflows.

Ensure ethical and legal compliance of the PERUN solutions, and deliver
enhanced regulation shaping through policy recommendations. Incorporate privacy considerations, ethical guidelines,
and technical standards into the development and deployment of AI systems.