DigiDefense

DigiDefence initiative at the Cybersecurity Competence Centre (CCC). Each project reflects the search for innovative solutions, combining science, business and practical needs.

CyberFiRD – cybersecurity research and development in the FinTech sector.

Objective. To protect FinTech companies and their clients from financial losses and data breaches involving sensitive information.

Solution. By applying machine learning and artificial intelligence methods, adaptive cybersecurity models are developed to reduce incidents of fraud and money laundering.

Result. A decrease in financial fraud cases within the FinTech sector and increased customer trust in digital services.

CTI-balanced – cybersecurity threat intelligence based on a sectoral and national collective cybersecurity balanced incentive framework

Objective. To enhance cyber threat analysis by tailoring it to sector-specific needs.

Solution. A developed methodology enables the automatic classification and assessment of threats, promotes cross-sector threat sharing, and ensures faster response times.

Result. Increased resilience to sector-specific threats and a stronger national cybersecurity network.

HIPSTER – hybrid, information, psychological and societal threat management system for public safety practitioners, businesses and education.

Objective. To manage hybrid, informational, psychological, and societal threats.

Solution. A comprehensive hybrid threat management tool has been developed, enabling the identification and analysis of risks from diverse information sources.

Result. Strengthened resilience of the state and businesses against hybrid threats, and reduced risk of social engineering attacks.

OSOTS – an operational technology sensor to improve the detection and response to cyber incidents to ensure the stability, reliability and protection of critical and industrial infrastructure systems against potential cyber threats.

Objective. To enhance the cybersecurity of industrial infrastructures.

Solution. A specialized OT (Operational Technology) sensor has been developed to identify and assess vulnerabilities in critical systems.

Result. Improved reliability, resilience, and incident response capability of industrial systems.

AICP-FIMI – AI-powered cloud platform to fight FIMI during elections and early warning service to identify social media bots and troll farms.

Objective. To protect elections from disinformation and manipulation on social media.

Solution. A real-time system has been developed to detect sources of disinformation, bots, and troll farms, and to send alerts to relevant authorities.

Result. Increased public resilience to disinformation during elections and a more transparent democratic process.

Smart Adaptive Spaces (AFFECTS) – smart, sensory, self-taught and adaptive buildings.

Objective. To create safe, adaptive workspaces based on users’ emotional, physiological, and psychological states.

Solution. A system has been developed that adjusts in real time to the user’s condition, enhancing productivity, safety, and well-being.

Result. Intelligent and secure work environments that comply with IoT and cybersecurity requirements.

EPMwDC – research and development of a monitor with integrated spyware prevention and malicious activity detection modules.

Objective. To protect classified information from espionage and malicious activity.

Solution. A monitor has been developed with integrated espionage prevention technologies and malicious activity detection capabilities.

Result. Enhanced security of classified information and reduced risk of data leakage across both public and private sectors.