Safety, Security, and Resilience in AI Systems | Free Training
November 18, 2025
As AI becomes embedded in critical areas, like healthcare and finance, understanding the concept of safety has never been more important.
In this video, we explore how the principles of safety, security and resilience form the foundation of trustworthy AI — preventing harm, protecting against attacks, and ensuring systems can recover from failure.
You’ll learn how to apply these concepts in practice using global frameworks like ISO/IEC 42001, the EU AI Act, and the NIST AI RMF, and why these 3 principles must evolve together as part of a responsible AI governance strategy.
Interested in learning more? Explore our AI GRC courses here.
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When we’re dealing with AI, we have to change the way we look at data. Information might have been collected in line with GDPR, but often, businesses end up using previous data to feed AI models, or to improve existing tools or AI decision making.
AI broadens the idea of what personal data is. The assumption that anonymising data puts you outside of the range of GDPR is muddied by the adoption of AI.
This guide provides a practical approach to AI governance for small and mid-sized businesses. It helps SMEs manage AI risk and build trust without overengineering their processes.
