Imagine a neighborhood watch program, but for computer hackers. Instead of every business fighting alone, they share warnings and tools to stop attacks together. It uses smart AI to spot threats early and helps companies get back on their feet quickly if they do get hit.
Organizations and regional supply networks struggle to keep up with rapidly changing cyber threats and strict EU regulations. They often lack the tools to share threat intelligence and recover quickly from attacks in a coordinated way.
A cybersecurity management solution delivered as a docker-integrated demonstrator. It includes AI for threat intelligence, self-healing capabilities, and tools for benchmarking security status.
If you are a logistics provider dealing with fragmented security across your supply chain — this project developed a collaborative management solution that improves shared situational awareness. This ensures that a threat to one partner is flagged for all, reducing the risk of total network shutdown.
If you are a utility operator dealing with strict NIS directive compliance — this project developed an AI-based threat intelligence tool that correlates data from social media and technical feeds. This allows for faster incident response and better disaster recovery for critical infrastructure.
If you are a manufacturer dealing with unpredictable cyber-attacks on production lines — this project developed system self-healing and business continuity tools. This minimizes downtime by automating the recovery process after a security breach.
Based on available project data, no specific commercial pricing or cost models are provided; the project was funded by a EUR 4,993,274 EU contribution.
Yes, the project focuses on local and regional supply networks and includes 12 industry partners to ensure the solution works in real-world organizational settings.
Based on available project data, specific IP and licensing terms are not listed, though it is managed by a consortium led by Oulun Yliopisto.
The system is specifically designed to help organizations comply with European legislation, such as the network and information security (NIS) directive.
The solution is delivered as a demonstrator based on a docker integration model, allowing for flexible deployment across different environments.
The consortium is heavily weighted toward commercial application, with a 52% industry ratio comprising 12 companies, including 7 SMEs. This balance, combined with 3 universities and 7 other organizations across 8 countries, suggests the technology has been vetted for practical business use rather than remaining a theoretical academic exercise.
Contact Oulun Yliopisto regarding the CS-AWARE-NEXT docker integration model.
Contact us to find out how to integrate these AI-driven cybersecurity tools into your supply chain.
