Cybersecurity
Project within this focus will address cybersecurity challenges that arise when implementing new, advanced digital solutions. The goal of the focus is to meet both current and future needs in industry and business. After the completion of the projects, the most important lessons and results will be made available to strengthen Sweden's shared ability to create robust and secure digital solutions.
Cybersecurity is not only about protecting against antagonistic threats and attacks, but also about managing vulnerabilities that can lead to unwanted consequences in a broader perspective. The stability of digital systems depends on protection against both natural threats and system failures as well as human errors that can cause disruptions and interruptions in functionality. A high level of cybersecurity minimizes the risk of incidents and helps to manage the negative effects if they occur.
The ongoing digitalization of both industry and society brings new opportunities, but also growing challenges in cybersecurity and digital resilience. As systems and technologies become increasingly interconnected, such as in cloud services, AI and the Internet of Things, the complexity and vulnerability of the data flows they generate increase. Ensuring confidentiality, availability and integrity in these systems requires innovative solutions that can meet the threats we face now and in the future.
This focus focuses on developing and implementing cyber-secure and resilient data flows in complex systems-of-systems. By strengthening security, robustness and interoperability in these digital ecosystems, we create better conditions for meeting cyber threats, while enabling a secure and sustainable digital transformation.
Underlying needs
Cybersecurity is a central factor for Sweden's industrial competitiveness and societal security. Swedish companies and organizations depend on efficient and reliable data flows between different actors and technologies. At the same time, today's cyber threats are becoming increasingly sophisticated and are increasingly targeted at socially critical systems, industrial control systems and cloud-based services.
To meet these challenges, we have identified four main needs:
- Secure AI Solutions – AI is increasingly being used in cybersecurity applications, but it also represents a potential attack vector. There is a need to develop security mechanisms and reliable AI models that can identify, prevent and counter cyber threats.
- Robust cloud and edge solutions – Cloud-based platforms and distributed IT environments require secure data management and privacy protection to withstand cyberattacks and data leaks.
- Skyddade IT-OT-IoT-integrationer – The combination of IT systems, operational systems (OT) and the Internet of Things creates security risks where infrastructure and production systems can be compromised. Solutions are needed to handle secure authentication, data transfer and remote control.
- Future-proof cryptographic solutions – The development of quantum computers may eventually make existing encryption methods vulnerable. Swedish companies and authorities need to be at the forefront of quantum-proof cryptographic methods to protect sensitive information.
To strengthen Swedish cybersecurity, application-oriented research and innovation is required where companies, academia and the public sector collaborate to develop and test new security solutions in real environments.
Expected effects
The focus is expected to contribute to strengthening Sweden's digital security and competitiveness by developing and implementing cyber-secure and resilient data flows.
In the short term, the bet means that:
- Industry and socially critical operations will receive better cybersecurity solutions that can be implemented in existing and future digital systems.
- Swedish companies and research environments are strengthening their ability to develop cybersecurity technology through targeted project and collaborative efforts.
- More actors in the business community will have the opportunity to benefit from cybersecurity expertise and advanced security solutions.
In the long term, the bet leads to:
- Increased digital resilience through secure and robust data flows in Swedish industry and critical infrastructure.
- Strengthened Swedish research and innovation milieu in cybersecurity, making Sweden a leading player in Europe in secure digitalisation.
- Sweden will be better equipped for future threats, including cyberattacks and quantum-based security challenges.
The effort is coordinated with national and international cybersecurity initiatives, ensuring that the results have a broad impact and create long-term benefits for Swedish industry and society.
Data flows and access to well-structured data in digital value chains
This focus finances up to three large pilot projects. The projects will demonstrate how productivity can be significantly increased by applying robust and standardized data infrastructures within digital value chains. By large project we mean project that address entire or large parts of complex digital value chains within a selected market segment. We therefore believe that project should have a total budget of approximately SEK 30 million and upwards.
The market segments of the projects should be within Swedish industry's areas of strength, for example automotive, life science, process industry, manufacturing industry or energy. We expect that granted project will establish contact and collaborate with the coordinating and cross-industry project on data flows that will result from another of the program's previous calls for proposals, System-Changing Interventions.
Underlying needs
Increased transparency and data sharing drives efficiency and optimization of product and process flows across all market segments. It also gives users greater understanding and insight into the needs within their segments.
At the same time, the amount of data related to individual products and solutions is increasing, and the need to understand when and in what context data has value is becoming increasingly central. To meet these needs, a focus on data structuring, collection and interoperability is needed.
It will form the foundation for realizing AI's full potential. By addressing these challenges, we can position ourselves, harness the transformative power of AI, ensure sustainable growth, improve decision-making, and promote a circular economy.
- Data Structuring: Structured data is more accessible and understandable to AI systems. It enables more efficient pattern recognition, analysis, and automated processing. Proper data structuring is fundamental to harnessing the capabilities of AI, and future hybrid intelligences.
- Data collection: Innovative and ethical data collection methods are essential to ensure diverse, high-quality datasets that reflect real-world complexity. Diversity is central to training AI systems to be effective and fair.
- Data interoperability: The ability of data systems and software to exchange and use information is essential for cross-sector collaboration. It enables comprehensive insights and multidisciplinary approaches to problem solving.
Project within the specialization may also include development of segment-specific digital areas such as:
- Avancerade AI-algoritmer: Develop sophisticated AI algorithms that can understand and analyze complex data sets, predict trends, and make decisions with minimal human intervention.
- Hybrid Intelligence: Ensure that the data infrastructure support the integration of human intelligence and artificial intelligence for long-term sustainability.
Expected effects
With the pilot projects, we want to show how productivity can be significantly increased through robust and standardized data infrastructures in whole or parts of digital value chains within some Swedish areas of strength. This will contribute to the automation of machine-readable data and data flows within value chains.
- Improved AI integration: We have a standardized and robust data infrastructure that is easily integrated with both current machine learning technologies and future generative AI capabilities. Now AI can identify patterns, automate tasks, and create new innovations with an AI that is deeply cognitive and can help all sectors in Sweden develop to new heights.
- Sustainable and circular data economy: We have a circular data economy that emphasizes reusability, minimizes waste, and promotes sustainable growth. Seamless flows of data between different actors to promote easy integrations of functionality at all stages of the data lifecycle.
- Information-based decision-making: Through our AI's cognitive capabilities, we have more sophisticated and accurate decision-making processes in a variety of industry sectors and other important areas of society, such as health and education.
- Future-proof data practices: We have adapted data collection, structuring, and interoperability methods to be compatible with emerging AI technologies, ensuring the nation remains at the forefront of innovation.