If you are a factory operator dealing with hyperconnected production lines and cyber threats — this project developed AI-driven automated security orchestration that protects the device-edge-cloud continuum. This ensures your machines stay connected and secure without manual intervention.
AI-Powered Security for 6G Networks and Cloud-to-Device Computing Services
Imagine a giant web connecting your phone, factory robots, and cloud servers. This project builds a smart security guard that uses AI to spot intruders and fix leaks instantly across that entire web. It ensures that as data moves from a device to the cloud, it stays private and safe without needing a human to manually flip every switch.
What needed solving
Current 6G and cloud-to-edge services face evolving cybersecurity risks that manual security updates cannot keep up with. There is a critical need for automated, AI-driven protection that works across different network domains without slowing down operations.
What was built
A security orchestrator, zero-touch device bootstrapping, and AI-powered anomaly detection tools. These were developed as proof of concepts to automate trust management and privacy protection.
Who needs this
Who can put this to work
If you are a network provider dealing with the rollout of real-time holographic services — this project developed a smart service system that reacts dynamically to changing threats. This reduces the risk of service outages and data breaches in next-generation networks.
If you are a security provider dealing with complex multi-domain network management — this project developed Human-Centric DevSecOps tools. This allows your team to integrate security from the design phase through to daily operations more efficiently.
Quick answers
What is the cost or price of implementing this solution?
Based on available project data, specific pricing for the end-product is not listed, though the project received an EU contribution of EUR 4,527,400 for development.
Can this be scaled to an industrial level?
Yes, the project specifically targets the demonstration of a set of industrially relevant use cases in operational environments to ensure scalability.
What are the IP and licensing terms?
Based on available project data, specific licensing terms are not provided; however, the project involves 12 partners including 7 industry entities.
How does this integrate with existing DevOps workflows?
It introduces Human-Centric DevSecOps models and tools that cover the full lifecycle from service onboarding to day-2 operations.
What is the timeline for deployment?
The project period runs from 2023-01-01 to 2025-12-31, with the first 18 months focused on architecture and proof of concepts.
Who built it
The consortium is heavily weighted toward commercial application, with 7 industry partners (58% ratio), including 4 SMEs. This strong industrial presence, spanning 9 countries, suggests the results are being developed with direct market needs in mind rather than purely academic interest.
Contact Universidad de Murcia in Spain
Talk to the team behind this work.
Contact us to connect with the RIGOUROUS consortium for early adoption of 6G security tools.