• Enhance the ability to detect, mitigate and respond to security challenges semi-automatically or automatically, achieving faster and more accurate incident prediction and detection systems.
• Categorization of related incidents and data assessment to establish whether multiple problems share a common underlying cause.
• Support cyber security and cyber defence related human operators, analysts, and decision-makers at all levels.
• Contribute to an enhanced cyber situational awareness, improving contextual knowledge of the enterprises, processes, and decision-making where AI should be utilised.
• Increased military infrastructure resilience and improved protection against advanced cyber threats.
• Support the creation of fit-for-purpose proof-of-concept prototypes of an automated or semi-automated incident management and cyber defence system.
• Reference systems and appropriate tests cases to generate training data and evaluate the efficacy of different solutions will be created, both with and without human operators interacting with the system.
• Identify opportunities for long-term improvement, wide cross-border cooperation between legal entities, and foster better exploitation of the industrial potential of innovation, research, and technological development.
• The whole process of analysis, response and execution will be explainable, and heavily oriented to contributing to the regulation and standardization of the achieved outcomes.
• Achieving excellence, trust, and a boost in research and industrial capacity.
• Ensure an appropriate ethical and legal framework based on the Union’s values and in line with the Charter of Fundamental Rights of the EU.