A project funded under the call for proposals shall address the cybersecurity and trustworthy AI challenges arising from increasing digitalisation in industry. As digital systems become more complex and integrated, both dependence on these systems and vulnerability to disruptions, attacks and errors increase.
Cybersecurity and digital resilience are crucial to the competitiveness of industry and its ability to transition. At the same time, the development of AI creates new opportunities to address security challenges, but also places increased eligibility requirements on reliability, security and control in digital systems.
the call for proposals has two focus areas: AI as an enabler for cybersecurity, and trustworthy and secure industrial AI.
AI as an enabler for cybersecurity
Underlying needs
Industry has a growing need for solutions that can strengthen cybersecurity in complex digital systems. The number of cyber threats is increasing, and systems are continuously changing, making it difficult to maintain a high level of security. At the same time, there is a major shortage of cybersecurity expertise.
There is therefore a need for solutions that can automate and streamline security work and reduce dependence on manual efforts in critical processes.
What the projects should contribute
Each project within this focus area shall use AI to prevent, detect and manage cyber threats. The projects shall develop solutions that strengthen cybersecurity and improve the management of complex data flows.
This may, for example, involve:
- automated monitoring and analysis of threats and risks,
- improved detection of vulnerabilities and incidents,
- solutions for faster response and recovery in the event of disruptions.
The focus is on solutions that can contribute to more automated and robust security processes.
Expected effects
In the short term, the projects shall contribute to increased security and better management of risks and disruptions in digital systems.
In the longer term, the projects shall help strengthen Sweden's capacity to develop and use advanced cybersecurity solutions. They shall also increase collaboration and knowledge transfer between industry and cybersecurity stakeholders.
Trustworthy and secure industrial AI
Underlying needs
The increased use of AI in industry creates a need to ensure that systems are reliable, secure and controllable. This applies especially in complex digital environments where systems interact and where errors or shortcomings can have major consequences.
To increase the use of AI, methods and solutions are required to ensure traceability, robustness, trust and protection against attacks and system failures.
What the projects should contribute
Each project within this focus area shall develop robust and secure solutions for industrial AI. The projects shall contribute to increased reliability, security and control in AI‑based systems.
This may, for example, involve:
- methods for ensuring quality, traceability and secure handling of data,
- solutions for verifying and validating AI systems,
- management of complex system environments in which several components interact.
The projects shall help reduce vulnerabilities and increase trust in AI‑based solutions in industry.
Expected effects
In the short term, the projects shall contribute to increased use of secure and reliable AI solutions in industry.
In the longer term, the projects shall contribute to increased digital resilience, strengthened competitiveness and a more robust and innovative ecosystem for digital solutions.