Forging a Secure Future: Key Principles of IoT Cybersecurity in Manufacturing

The hum of machinery, the buzz of assembly lines – the image of a bustling factory floor represents the backbone of global production. But this industrial heart thumps to a new rhythm in the age of Industry 4.0.

The manufacturing industry is undergoing a digital revolution fueled by the Internet of Things (IoT). From sensor-laden machinery on the factory floor to connected robots and automated logistics systems, IoT is transforming how products are designed, built, and delivered. However, automation, interconnected devices, and the rise of the “smart factory” create a landscape ripe with opportunity, but also brimming with cybersecurity challenges.

In this blog post, the Telemetry team explores the key principles of IoT cybersecurity in manufacturing, outlining essential steps to fortify an industrial ecosystem against ever-evolving threats.

The Rise of the Connected Factory

The traditional factory floor is giving way to a more intelligent and connected environment. Here’s a glimpse into the world of Industrial IoT (IIoT):

  • Smart machines: Production lines are equipped with sensors that collect real-time data on machine performance, enabling predictive maintenance and optimizing production processes.
  • Industrial robots: Collaborative robots work alongside human workers, automating repetitive tasks and improving efficiency.
  • Connected logistics: Inventory is tracked in real-time using RFID tags, and autonomous vehicles handle material movement within the factory.
  • Remote monitoring and control: Production processes can be monitored and controlled remotely, allowing for greater flexibility and faster response times.

Yet, as IT and operational technology (OT) systems converge, the lines between traditional IT security and industrial control system security blur, creating new attack vectors.

The Connected Factory: A Double-Edged Sword

The integration of Industrial Internet of Things (IIoT) devices and cloud-based systems streamlines production and unlocks valuable data insights. Yet, this interconnectedness creates a larger attack surface for cybercriminals.

  • Data breaches: Manufacturers hold valuable product designs, schematics, and production processes. A cyberattack can steal sensitive information such as intellectual property, production data, and customer details, giving competitors an unfair advantage.
  • Production stoppages: Ransomware attacks could halt or even cripple production lines by encrypting critical data, leading to costly downtime, delayed deliveries, and lost revenue.
  • Disrupted supply chains: Connected logistics systems are vulnerable to attacks that could disrupt the flow of materials and finished goods. A breach in a single vendor’s system can become a backdoor entry point for attackers to infiltrate the entire network. 
  • Product quality issues: Tampering with machine settings could lead to defective products, damaging brand reputation and potentially causing safety hazards.

Challenges for Manufacturers

While the benefits of Industry 4.0 are undeniable, cybersecurity presents significant hurdles:

  • Legacy Systems: Many factories still rely on outdated control systems that weren’t designed with cybersecurity in mind. Upgrading these systems can be expensive and disruptive.
  • Skilled Workforce Shortage: The manufacturing industry faces a shortage of cybersecurity professionals with specialized knowledge to secure industrial control systems.
  • Balancing Security and Efficiency: Security measures can sometimes slow down production processes. Manufacturers need to find the right balance between robust security and operational efficiency.

Securing Your Industrial IoT Landscape

Despite the challenges, proactive steps can bolster a manufacturer’s cybersecurity posture. Hence, to ensure a secure and reliable manufacturing environment, here are some key principles for IIoT cybersecurity:

  1. Security should be prioritized from the outset (secure by design), starting with the selection of secure devices, and implementing secure coding practices. This includes features like secure boot, secure communication protocols, and encryption of sensitive data.For example
    • Implement robust Identity and Access Management (IAM) to control access to devices and systems. Implement security measures like video surveillance and access control systems, or authentication mechanisms like multi-factor authentication (MFA) and assign least privilege access controls.
    • Separate critical production systems from less sensitive areas like office networks. Segmenting the IIoT network and isolating critical production systems from less secure IT networks limits the potential damage if a breach occurs in one segment.
    • Embed security considerations throughout the entire development lifecycle of manufacturing software and hardware.
    • Don’t assume trust within the network. Implement a zero-trust approach where every user and device needs to be continuously authenticated and authorized before accessing resources.
    • Ensure your IIoT deployments comply with all relevant industry regulations and data privacy standards.
  1. Proactively identify and address vulnerabilities in all connected devices and software. Regularly identify and address vulnerabilities in IT and OT systems via penetration testing and respective assessments. Patch management is crucial – ensure timely updates for all devices throughout their lifecycle.
  2. Have a well-defined incident response plan in place to quickly detect, contain, and remediate security incidents. This should include clear roles and responsibilities for all stakeholders and a communication plan to keep everyone informed. In addition, conduct thorough risk assessments to identify potential threats and prioritize security measures based on the severity of the risks.
  3. Regular training programs are essential to foster a culture of security awareness. Educate employees about cybersecurity best practices, including how to identify social engineering attacks, recognizing phishing attempts and reporting suspicious activity.

The Road Ahead: Continuous Improvement

By prioritizing cybersecurity and continually adapting their defenses, manufacturers can ensure the smooth operation of production lines and safeguard sensitive information. Securing the IIoT landscape requires a continuous effort. Here are some additional considerations for manufacturers:

  • The evolving threat landscape: Stay updated on the latest cyber threats and vulnerabilities specific to manufacturing environments.
  • The role of AI and Machine Learning: Explore how AI and ML can be leveraged for threat detection and anomaly identification within IIoT systems.
  • Supply chain security: Partner with vendors who prioritize secure development practices throughout the supply chain.
  • Collaboration: Industry collaboration is crucial for sharing best practices and developing collective defenses against cyberattacks.

By adhering to these principles, manufacturers can build a robust and secure IIoT ecosystem, ensuring the smooth operation of their facilities, protecting valuable intellectual property, and safeguarding their competitive edge. Remember, cybersecurity is not a one-time fix; it’s an ongoing process that requires continuous vigilance and adaptation. By embracing a proactive approach, will not only protect their bottom line but also ensure a secure and reliable future for the industry.

European Cyber Security Community Initiative (ECSCI)

The European Cyber Security Community Initiative (ECSCI) brings together EU-funded cybersecurity research and innovation projects to foster cross-sector collaboration and knowledge exchange. Its aim is to align technical and policy efforts across key areas such as AI, IoT, 5G, and cloud security. ECSCI organizes joint dissemination activities, public workshops, and strategic dialogue to amplify the impact of individual projects and build a more integrated European cybersecurity landscape.

Supported by the European Commission, ECSCI contributes to shaping a shared vision for cybersecurity in Europe by reinforcing connections between research, industry, and public stakeholders.

Visit the website

European Cluster for Cybersecurity Certification

The European Cluster for Cybersecurity Certification is a collaborative initiative aimed at supporting the development and adoption of a unified cybersecurity certification framework across the European Union. Bringing together key stakeholders from industry, research, and national authorities, the cluster facilitates coordination, knowledge exchange, and alignment with the EU Cybersecurity Act.

Its mission is to contribute to a harmonized approach to certification that fosters trust, transparency, and cross-border acceptance of cybersecurity solutions. The cluster also works to build a strong stakeholder community that can inform and support the work of the European Union Agency for Cybersecurity (ENISA) and the future European cybersecurity certification schemes.

Visit the website

CertifAI

CertifAI is an EU-funded project aimed at enabling organizations to achieve and maintain compliance with key cybersecurity standards and regulations, such as IEC 62443 and the EU Cyber Resilience Act (CRA), across the entire product development lifecycle. Rather than treating compliance as a one-time activity or post-development task, CertifAI integrates compliance checks and evidence collection as continuous, embedded practices within daily development and operational workflows.

The CertifAI framework provides structured, practical guidance for planning, executing, and monitoring compliance assessments. It supports organizations in conducting gap analyses, building compliance roadmaps, collecting evidence, and preparing for formal certification. The methodology leverages best practices from established cybersecurity frameworks and aligns with Agile and DevSecOps principles, enabling continuous and iterative compliance checks as products evolve.

A central feature of CertifAI is the use of automation and AI-driven tools—such as Retrieval-Augmented Generation (RAG) systems and Explainable AI—to support the interpretation of complex requirements, detect non-conformities, and generate Security Assurance Cases (SAC) with traceable evidence. The approach is organized into five main phases: preparation and planning, evidence collection and mapping, assessment execution, reporting, and ongoing compliance monitoring.

CertifAI’s methodology is designed to be rigorous yet adaptable, offering organizations a repeatable process to proactively identify, address, and document compliance gaps. This supports organizations not only in meeting certification requirements, but also in embedding a culture of security and compliance into daily practice.

Ultimately, CertifAI’s goal is to make compliance and security assurance continuous, transparent, and integrated, helping organizations efficiently prepare for certification while strengthening their overall cybersecurity posture.

Visit the website

DOSS

The Horizon Europe DOSS – Design and Operation of Secure Supply Chain – project aims to improve the security and reliability of IoT operations by introducing an integrated monitoring and validation framework to IoT Supply Chains.

DOSS elaborates a “Supply Trust Chain” by integrating key stages of the IoT supply chain into a digital communication loop to facilitate security-related information exchange. The technology includes security verification of all hardware and software components of the modelled architecture. A new “Device Security Passport” contains security-relevant information for hardware devices and their components. 3rd party software, open-source applications, as well as in-house developments are tested and assessed. The centrepiece of the proposed solution is a flexibly configurable Digital Cybersecurity Twin, able to simulate diverse IoT architectures. It employs AI for modelling complex attack scenarios, discovering attack surfaces, and elaborating the necessary protective measures. The digital twin provides input for a configurable, automated Architecture Security Validator module which assesses and provides pre-certification for the modelled IoT architecture with respect of relevant, selectable security standards and KPIs. To also ensure adequate coverage for the back end of the supply chain the operation of the architecture is also be protected by secure device onboarding, diverse security and monitoring technologies and a feedback loop to the digital twin and actors of the supply chain, sharing security-relevant information.

The procedures and technology will be validated in three IoT domains: automotive, energy and smart home.

The 12-member strong DOSS consortium comprises all stakeholders of the IoT ecosystem: service operators, OEMs, technology providers, developers, security experts, as well as research and academic partners.

Visit the website

EMERALD: Evidence Management for Continuous Compliance as a Service in the Cloud

The EMERALD project aims to revolutionize the certification of cloud-based services in Europe by addressing key challenges such as market fragmentation, lack of cloud-specific certifications, and the increasing complexity introduced by AI technologies. At the heart of EMERALD lies the concept of Compliance-as-a-Service (CaaS) — an agile and scalable approach aimed at enabling continuous certification processes in alignment with harmonized European cybersecurity schemes, such as the EU Cybersecurity Certification Scheme for Cloud Services (EUCS).

By focusing on evidence management and leveraging results from the H2020 MEDINA project, EMERALD will build on existing technological readiness (starting at TRL 5) and push forward to TRL 7. The project’s core innovation is the development of tools that enable lean re-certification, helping service providers, customers, and auditors to maintain compliance across dynamic and heterogeneous environments —including Cloud, Edge, and IoT infrastructures.

EMERALD directly addresses the critical gap in achieving the ‘high’ assurance level of EUCS by offering a technical pathway based on automation, traceability, and interoperability. This is especially relevant in light of the emerging need for continuous and AI-integrated certification processes, as AI becomes increasingly embedded in cloud services.

The project also fosters strategic alignment with European initiatives on digital sovereignty, supporting transparency and trust in digital services. By doing so, EMERALD promotes the adoption of secure cloud services across both large enterprises and SMEs, ensuring that security certification becomes a practical enabler rather than a barrier.

Ultimately, EMERALD’s vision is to provide a robust, flexible, and forward-looking certification ecosystem, paving the way for more resilient, trustworthy, and user-centric digital infrastructures in Europe.

Visit the website

SEC4AI4SEC

Sec4AI4Sec is a project funded by the European Union’s Horizon Europe research and innovation programme under grant agreement No 101120393.

This project aims to create a range of cutting-edge technologies, open-source tools, and new methodologies for designing and certifying secure AI-enhanced systems and AI-enhanced systems for security. Additionally, it will provide reference benchmarks that can be utilized to standardize the evaluation of research outcomes within the secure software research community.

The project is divided into two main phases, each with its own name.

·       AI4Sec – stands for using artificial intelligence in security. Democratize security expertise with an AI-enhanced system that reduces development costs and improves software quality. This part of the project improves via AIs the secure coding and testing.

·       Sec4AI –  involves AI-enhanced systems. These systems also have risks that make them vulnerable to new security threats unique to AI-based software, especially when fairness and explainability are essential.

The project considers the economic and technological impacts of combining AI and security.

The economic phase of the project focuses on leveraging AI to drive growth, productivity, and competitiveness across industries. It includes developing new business models, identifying new market opportunities, and driving innovation across various sectors. 

Visit the website