Periodic Reporting for period 2 - CS-AWARE-NEXT (Dynamic cybersecurity management for organisations and local/regional networks based on awareness and collaboration)
Berichtszeitraum: 2024-01-01 bis 2025-09-30
CS-AWARE-NEXT comprises 8 objectives which we briefly describe below:
Objective 1: Improved organisational policy support for dynamic cybersecurity management
Objective 2: Better cybersecurity cooperation and collaboration on the local and regional level
Objective 3: Improved data quality assessment and AI-based data correlation for utilising threat intelligence and social media in dynamic incident and risk management
Objective 4: Dynamic disaster recovery, business continuity and system self-healing on the organisational and local/regional level
Objective 5: Improved integration of threat intelligence and information sharing in organisational cybersecurity management
Objective 6: Define KPI based benchmarking and profiling to dynamically assess the security state in the multilevel cybersecurity environment
Objective 7: Provide a reference implementation and deployment in the context of the CS-AWARE cybersecurity awareness and collaboration platform
Objective 8: Follow an agile, design-science based approach to project implementation and validation, with end-user involvement in all project phases
The outcomes of this second reporting period allow for continuing post-project collaboration and especially in regard to the transition of the project's TRL 5 outputs into TRL 7/8 market applications and standards.
Given the pre-existing collaborations amongst the consortium members, we see that there will be a fertile ground to prepare for the post-project exploitation phase.
Same as with the prior to our project CS-AWARE Innovation Action, the legacy of CS-AWARE NEXT is expected to extend far beyond its duration in terms of contributing with foundational tools and methodologies necessary for a unified, predictive European cyber defense.
The core technical legacy is the Advanced Situational Awareness (SA) Platform and the associated AI/ML Threat Prediction Models.
• Predictive Defense Capability: The platform's main legacy is shifting cybersecurity from purely reactive defense (responding to an attack) to predictive defense (anticipating an attack before it fully manifests). This capacity for next-generation threat intelligence will be the enduring feature that separates it from current, standard Security Operations Center (SOC) tools.
• The Shared Intelligence Model: The specific data models, taxonomies, and exchange formats developed to facilitate real-time sharing of threat indicators across different organizational sectors and national CSIRTs (Computer Security Incident Response Teams) will remain a valuable asset, effectively increasing the cyber resilience of its targeted users.
• Proof-of-Concept for Federating EU Cyber Defense: The project's successful demonstration in diverse pilot environments (e.g. energy, finance) serves as the primary Real-World Evidence (RWE) that a distributed, AI-driven situational awareness platform can function effectively at a cross-border, multi-sector level.