Imagine a house that not only detects a leak in the pipes but automatically patches the hole before the floor gets wet. This technology does that for software, finding security holes and fixing them on its own. It acts like a digital immune system that learns from attacks to keep the system running without human intervention.
Medium to large companies lack automated security tools that cover the entire software development lifecycle. Existing solutions are too narrow, leaving gaps that make complex systems vulnerable to attacks and failures.
An intelligent security system featuring an alpha release and manual, capable of automated vulnerability detection and self-healing via APIs.
If you are a tool provider dealing with fragmented security checks across the development cycle — this project developed an intelligent system that converts security intelligence into actionable recommendations. This allows for a unified view of security rather than narrow, single-step tools.
If you are a manufacturer dealing with hardware constraints that prevent standard security updates — this project developed specialized techniques for resiliency in embedded environments. This ensures devices stay secure even when they cannot run heavy security software.
If you are a software house dealing with high-risk vulnerabilities in complex systems — this project developed a self-healing capability that automatically applies fixes during an active attack. This reduces downtime and prevents data breaches in real-time.
Based on available project data, the core functionality follows an open-source approach, supported by a business model designed for sustainability after the funding phase.
Yes, the project was validated using two real-world pilots in different demanding sectors to ensure efficacy in complex, large-scale environments.
The project utilizes an open-source approach for its core functionality to ensure wide adoption and sustainability.
It integrates directly into the DevSecOps process via dedicated APIs, allowing developers to deploy intelligent and distributed security solutions.
The project period runs from 2022-09-01 to 2025-08-31, with an alpha release already listed as a deliverable.
The consortium is highly market-oriented with a 50% industry ratio, comprising 5 industrial partners (including 4 SMEs) and 5 academic/research entities. This balance suggests a strong transition from theoretical AI research to practical, commercially viable software tools, supported by a diverse geographic spread across 8 European countries.
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