Project funded under the call for proposals will address the cybersecurity and trustworthy AI challenges that arise from the increasing digitalisation in industry. As digital systems become more complex and integrated, both the dependence on these systems and the vulnerability to disruptions, attacks and errors increase.
Cybersecurity and digital resilience are crucial for industry's competitiveness and ability to adapt. The development of AI simultaneously offers new opportunities to address security challenges, but also places increased eligibility requirements demands on reliability, security and control in digital systems.
The call for proposals has two focuses: AI as an enabler for cybersecurity and reliable 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 constantly changing, making it difficult to maintain a high level of security. At the same time, there is a great shortage of cybersecurity skills.
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 to
Project within this focus will use AI to prevent, detect and manage cyber threats. They will develop solutions that strengthen cybersecurity and the management of complex data flows.
This could, for example, be about:
- 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 will contribute to increased security and better management of risks and disruptions in digital systems.
In the longer term, the projects will contribute to strengthening Sweden's ability to develop and use advanced cybersecurity solutions. They will also increase collaboration and skills transfer between industry and cybersecurity actors.
Reliable 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 is especially true in complex digital environments where systems interact and where errors or deficiencies can have major consequences.
In order to increase the use of AI, methods and solutions are required that ensure traceability, robustness, trust and protection against attacks and system errors.
What the projects should contribute to
Project within this focus will develop robust and secure solutions for industrial AI. They will contribute to increasing reliability, security and control in AI-based systems.
This could, for example, be about:
- methods to ensure quality, traceability and secure handling of data,
- solutions to verify and validate AI systems
- management of complex system environments where multiple components interact.
The projects will help reduce vulnerabilities and increase trust in AI-based solutions in industry.
Expected effects
In the short term, the projects will contribute to increased use of safe and reliable AI solutions in industry.
In the longer term, the projects will contribute to increased digital resilience, strengthened competitiveness and a more robust and innovative ecosystem for digital solutions.