SciTransfer
InSecTT · Project

Secure and Trustworthy AI Systems for Industrial IoT Across Transport, Manufacturing, and Health

digitalPilotedTRL 7
insectt.eu

Imagine every machine in a factory, every train on a track, and every medical device in a hospital could think for itself — but you had no idea why it made its decisions or whether to trust it. That's the problem with connecting AI to everyday industrial equipment. InSecTT built the technology to make these smart, connected devices secure from cyberattacks, transparent in their decision-making, and trustworthy enough for real-world use. They tested it across trains, ports, airports, factories, and hospitals with 59 partners from 12 countries.

By the numbers
59
consortium partners across Europe and Turkey
12
countries involved in development and testing
34
industry partners validating solutions
11
SMEs in the consortium
9
total project deliverables
3
rounds of industrial demonstrators (Y1, Y2, final)
The business problem

What needed solving

Industrial companies across transport, manufacturing, and healthcare are connecting more devices and deploying AI — but they can't trust AI decisions they don't understand, and every connected device is a potential cyberattack entry point. European regulations increasingly demand that AI systems be transparent and secure, yet most off-the-shelf IoT solutions treat AI as a black box. Companies need intelligent systems that are simultaneously secure, trustworthy, and explainable — without building everything from scratch.

The solution

What was built

The project built industrial demonstrators for secure, trustworthy AI-IoT systems across 9 application domains including smart infrastructure, manufacturing, automotive, railway, maritime, aeronautics, and health. Three iterations of demonstrators were produced (Year 1, Year 2, and final), with solutions covering edge AI, explainable AI, secure connectivity, and cross-domain interoperability — all validated in real-world settings like trains, ports, and airports.

Audience

Who needs this

Railway operators modernizing signaling and monitoring with AIPort authorities and airport operators securing connected infrastructureMedical device companies needing explainable AI for regulatory complianceFactory operators deploying AI-driven predictive maintenance on IoT sensorsAutomotive companies building trustworthy autonomous driving components
Business applications

Who can put this to work

Transport & Logistics
enterprise
Target: Railway operators and port authorities

If you are a railway operator or port authority dealing with cybersecurity risks on your connected infrastructure — this project developed secure, trustworthy AI systems tested in real train and port environments. The consortium included 34 industry partners who built industrial demonstrators across three project years. The solutions move AI processing to the edge, meaning faster and more secure decisions without relying on distant cloud servers.

Smart Manufacturing
mid-size
Target: Factory operators adopting Industry 4.0

If you are a manufacturer rolling out connected sensors and AI-driven quality control but worried about data security and unexplainable AI decisions — InSecTT created interoperable, explainable AI tools for industrial IoT. With 11 SMEs and 34 industry partners across 12 countries validating the technology, the solutions were demonstrated in real manufacturing environments and designed for cross-domain reuse.

Healthcare Technology
any
Target: Medical device manufacturers and hospital IT departments

If you are a medical device company or hospital dealing with the challenge of deploying AI-powered equipment that must be both secure and explainable to regulators — this project built trustworthy AI solutions demonstrated in real health sector environments. The technology makes AI decisions transparent and auditable, which is critical for medical compliance. The 59-partner consortium ensured the solutions work across different systems and standards.

Frequently asked

Quick answers

What would it cost to adopt these solutions?

The project's EU contribution is not publicly listed in the dataset. Since InSecTT was an Innovation Action with 59 partners, the technology components are spread across multiple use cases. Licensing or adoption costs would need to be discussed directly with the relevant consortium partners who developed the specific module you need.

Can these solutions work at industrial scale?

Yes — the project specifically built and demonstrated industrial-grade solutions. Three rounds of industrial demonstrators (Year 1, Year 2, and final) were produced and showcased across real environments including trains, ports, airports, and factories. The 58% industry ratio in the consortium confirms these were designed for production use, not just lab experiments.

What about intellectual property and licensing?

With 59 partners from 12 countries, IP ownership is distributed across the consortium. The coordinator, Virtual Vehicle Research GmbH in Austria, can direct you to the right partner for specific technologies. Given the Innovation Action funding type, results are expected to be commercially exploitable.

Is this technology compliant with European AI regulations?

InSecTT was explicitly designed around European values for AI — trustability, explainability, and security. The project focused on making AI systems not just a 'black box' but transparent and auditable. This aligns directly with the EU AI Act requirements for high-risk AI systems in transport and health.

How quickly could we integrate this into existing systems?

The project emphasized interoperability and reusability across domains — from manufacturing to railway to health. Industrial demonstrators were tested in real-world environments over 3 years (2020-2023). Integration timelines would depend on your specific infrastructure, but the cross-domain design means the technology was built to plug into existing systems.

What domains were actually tested?

Based on the project objective, solutions were demonstrated in smart infrastructure, building, manufacturing, automotive, aeronautics, railway, urban public transport, maritime, and health. The final demonstrators were showcased at a public event with press and general public, confirming real working prototypes.

Consortium

Who built it

This is a heavyweight consortium — 59 partners from 12 countries with a strong 58% industry ratio (34 industry players out of 59). That's unusual and signals serious commercial intent. The mix includes 11 SMEs bringing agility, 17 universities providing research depth, and 8 research organizations. The coordinator, Virtual Vehicle Research GmbH from Austria, is classified as an SME and research entity, meaning they bridge the gap between academic R&D and industrial application. Countries span Western, Northern, and Southern Europe plus Turkey, giving broad market coverage. For a business looking to adopt this technology, the large number of industry partners means multiple potential technology providers and integrators to work with, not a single point of dependency.

How to reach the team

Virtual Vehicle Research GmbH (Austria) — coordinator of a 59-partner consortium, reachable through the project website

Order a report on this consortiumSee VIRTUAL VEHICLE RESEARCH GMBH profile →
Next steps

Talk to the team behind this work.

Want to connect with the InSecTT team for secure AI-IoT solutions in your industry? SciTransfer can arrange a direct introduction to the right consortium partner for your specific use case.

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