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SecureIoT · Project

Predictive Security Services That Protect IoT Devices Before Attacks Happen

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Imagine your factory machines, connected cars, or care robots all talk to each other over the internet — but nobody is watching for break-ins. SecureIoT built a kind of security guard system that monitors all those connected devices, spots suspicious behavior early, and warns you before an actual attack hits. It also checks whether your setup meets privacy rules like GDPR, so you don't get fined. Think of it as a burglar alarm plus a compliance inspector, delivered as an online service you can plug into your existing IoT setup.

By the numbers
EUR 4,860,335
EU funding for development of predictive IoT security services
21
consortium partners involved in development and validation
10
countries represented in the consortium
17
industry partners (81% of consortium)
19
demo deliverables with working prototypes
76
total project deliverables produced
3
validated use cases (manufacturing, connected cars, assisted living)
The business problem

What needed solving

Every company deploying connected devices — factory sensors, fleet vehicles, care robots — faces the same two headaches: cyberattacks they cannot predict, and EU regulations (GDPR, NIS, ePrivacy) they struggle to prove compliance with. Traditional security tools were designed for IT networks, not for thousands of lightweight IoT devices spread across factories, roads, and care homes. The cost of getting it wrong is production downtime, data breaches, regulatory fines, and damaged reputation.

The solution

What was built

The consortium built a full suite of Security-as-a-Service tools: predictive security monitoring that detects threats before they strike, automated risk assessment, GDPR/NIS/ePrivacy compliance auditing, a security knowledge base, developer support tools with security-aware programming annotations, and cross-platform interoperability features. All delivered as working prototypes (19 demo deliverables) validated in 3 real-world scenarios: smart manufacturing, connected cars, and assisted living robots.

Audience

Who needs this

Manufacturing companies running Industrie 4.0 connected production linesAutomotive OEMs and fleet operators with connected or autonomous vehiclesAssisted living providers deploying IoT-enabled care robotsIoT platform providers needing built-in security layersAny company needing automated GDPR/NIS compliance auditing for IoT deployments
Business applications

Who can put this to work

Smart Manufacturing
enterprise
Target: Factory operators running connected production lines (Industrie 4.0)

If you are a manufacturer running connected machines on the shop floor and worried about cyberattacks shutting down production — this project developed predictive security monitoring and risk assessment tools validated specifically for Industrie 4.0 scenarios. The tools detect threats before they disrupt operations and audit your compliance with GDPR and NIS directives. The consortium of 21 partners including 17 industry players built and tested these services end-to-end.

Automotive / Connected Vehicles
enterprise
Target: Car manufacturers and fleet operators with connected or self-driving vehicles

If you are an automotive company deploying connected cars or autonomous driving features and need to secure vehicle-to-cloud communication — this project built and validated predictive security services specifically for connected car use cases. The platform monitors data flows between vehicles and cloud platforms in real time, flags anomalies, and provides compliance auditing against EU regulations. Validated with both interim and final prototypes across 10 countries.

Healthcare / Assisted Living
mid-size
Target: Assisted living providers and robotics companies deploying care robots

If you are deploying socially assistive robots in elderly care or rehabilitation settings and need to protect sensitive patient data — this project developed and validated IoT security services for ambient assisted living (AAL) robots. The system monitors robot-to-platform communications, detects security breaches, and ensures GDPR and ePrivacy compliance. Final validated prototypes were delivered covering the full security lifecycle.

Frequently asked

Quick answers

What would it cost to use these security services?

The project designed its services as Security-as-a-Service (SECaaS), meaning a subscription model rather than a large upfront investment. Specific pricing was not published in the project data. Contact the consortium for current licensing terms and service tiers.

Can these tools handle thousands of IoT devices across multiple factories or locations?

Yes — the project explicitly built infrastructure for scalable storage and processing of IoT security information, and designed cross-platform security support to work across multiple IoT platforms simultaneously. The architecture aligns with Industrial Internet Consortium and Platform Industrie 4.0 reference architectures, which are built for enterprise scale.

Who owns the intellectual property and how can we license it?

The consortium of 21 partners across 10 countries jointly developed the technology under EU funding rules, which typically allow partners to retain IP on their contributions. NETCOMPANY SA (Belgium) coordinated the project. Licensing discussions should be directed to the relevant consortium partner for the specific service module you need.

Does this help with GDPR and NIS Directive compliance?

Directly — the project built a dedicated IoT Compliance Auditing as a Service module that specifically checks IoT deployments against GDPR, NIS, and ePrivacy regulations. Both interim and final prototype versions were delivered and validated. This turns compliance from a manual audit exercise into an automated, continuous service.

How long would it take to integrate this into our existing IoT platform?

The project was designed to work with leading IoT reference architectures (Industrial Internet Consortium, OpenFog, Platform Industrie 4.0) and built cross-platform security support for interoperability. Based on available project data, the SECaaS model means integration happens through APIs rather than deep system changes, but timelines depend on your specific platform and scale.

Is there developer support for building security into new IoT products?

Yes — the project delivered a dedicated IoT Developers Support as a Service module plus a programming annotations system (Models and Annotation for Security-Aware IoT Programming). These tools help developers embed security into IoT applications during development rather than bolting it on afterward.

What is the current status — is this still active?

The project formally ended in December 2020 after 3 years of work. However, the exploitation strategy included a multi-sided market platform for offering SECaaS services commercially. Contact the coordinator to learn which services are currently available or being commercialized by consortium partners.

Consortium

Who built it

This is an unusually industry-heavy consortium: 17 out of 21 partners (81%) are from industry, with only 1 university and 3 research organizations. That mix signals this was built to be used in the real world, not just published in journals. The 5 SMEs add agility, while the enterprise players bring scale. Spanning 10 countries across Europe gives the technology exposure to different regulatory environments and market conditions. The coordinator, NETCOMPANY SA from Belgium, is a private company — not an academic institution — which further underscores the commercial intent. For a potential buyer, this means the technology was shaped by companies that understand production constraints, not just researchers chasing publications.

How to reach the team

NETCOMPANY SA (Belgium) — a private company that coordinated 21 partners across 10 countries. SciTransfer can facilitate an introduction to the right technical contact.

Next steps

Talk to the team behind this work.

Want to know if SecureIoT's predictive security services fit your IoT deployment? SciTransfer can arrange a briefing with the consortium team and help you evaluate integration options for your specific use case.