Imagine a digital security guard that doesn't trust anyone by default, even if they are already inside the building. This system uses AI to constantly watch for suspicious behavior and automatically locks doors before a thief can even move. It ensures that the super-fast 6G internet of the future stays safe without slowing down the connection.
Current network security often relies on perimeter defense, which is insufficient for distributed 6G clouds. This leads to slow threat detection and high resource overhead when trying to secure diverse assets.
A zero-trust network architecture and AI-driven security orchestration engine. It includes trust algorithms for threat intelligence and intent-based security policies for automated enforcement.
If you are a network operator dealing with complex distributed clouds — this project developed a zero-trust architecture that improves the mean time-to-detection of threats. It allows for automated security orchestration across edge and public clouds.
If you are a utility provider dealing with asset compliance and vulnerability — this project developed AI-driven trust algorithms that provide proactive protection. This reduces the time spent on manual vulnerability assessment procedures.
If you are a security firm dealing with high resource overhead during monitoring — this project developed intent-based security policies that automate orchestration. This minimizes the performance overhead caused by programmability models.
Based on available project data, no pricing or cost information is provided as this is a research project.
Yes, the project specifically targets 6G distributed cloud environments and includes trial-based validation on specialized hardware and accelerators.
Based on available project data, the project includes objectives for the exploitation of results and innovation management, but specific licensing terms are not listed.
It is designed to work across the continuum, specifically targeting extreme edge, edge, and public clouds using programmability models.
The project period runs from 2024-01-01 to 2026-06-30, suggesting the technology will be refined through this window.
The consortium is heavily industry-weighted with a 56% industry ratio, comprising 5 industrial partners (including 3 SMEs) and 4 academic/research entities. This balance suggests a strong focus on commercial viability and practical application across 5 European countries, led by a Spanish SME.
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