Why cyber resilience matters for AI
As AI is increasingly deployed in critical domains such as energy systems, healthcare, transportation, and industrial operations, reliability and security are essential. These systems must be able to withstand mistakes, changing conditions, and deliberate attacks. Today, many AI solutions remain vulnerable to manipulation, faulty data, and unforeseen situations.
RESIST CENTER addresses these challenges by integrating expertise in artificial intelligence and cybersecurity. The centre brings together leading researchers to develop methods that strengthen AI systems so they can be relied upon even in uncertain and adversarial environments.
From research to real‑ world impact
RESIST develops methods that enable organisations and society to trust AI in practice. This includes approaches to:
- test and verify that AI models behave as intended
- protect AI systems from cyberattacks and manipulation
- ensure continued operation when systems are stressed or partially fail
- design architectures that deliver robustness beyond theoretical models
To ensure relevance and impact, RESIST evaluates its solutions in real‑world settings, including critical infrastructure, software services, and autonomous robots and vehicles. This allows research results to be translated efficiently into practical applications and long‑term benefits for industry and society.