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.
Predictive Security Services That Protect IoT Devices Before Attacks Happen
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.
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.
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.
Who needs this
Who can put this to work
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.
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.
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.
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.
- NETCOMPANY SACoordinator · BE
- IDIADA AUTOMOTIVE TECHNOLOGY UK LTDthirdparty · UK
- INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUEparticipant · FR
- FSAS TECHNOLOGIES GMBHparticipant · DE
- UNIVERSITE DE LORRAINEthirdparty · FR
- SIEMENS SRLparticipant · RO
- RESEARCH AND EDUCATION LABORATORY IN INFORMATION TECHNOLOGIESparticipant · EL
- ATOS SPAIN SAparticipant · ES
- IDIADA AUTOMOTIVE TECHNOLOGY SAparticipant · ES
- WEIDMULLER INTERFACE GMBH & CO KGthirdparty · DE
- UBITECH LIMITEDparticipant · CY
- SINGULARLOGIC PLIROFORIAKON SYSTIMATON KAI EFARMOGON PLIROFORIKISparticipant · EL
- INNOVATION SPRINTparticipant · BE
- DWF GERMANY RECHTSANWALTSGESELLSCHAFT MBHparticipant · DE
- ATOS IT SOLUTIONS AND SERVICES IBERIA SLthirdparty · ES
- LUXAI SAparticipant · LU
- NETCOMPANY S.A.thirdparty · LU
NETCOMPANY SA (Belgium) — a private company that coordinated 21 partners across 10 countries. SciTransfer can facilitate an introduction to the right technical contact.
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.