Our Blog

Is it worth paying for a certification in AI GRC? The Safeshield team weighs in on what you can get out of free vs paid training, and which is best for you right now.

Is your AI governance model compliant? Here, we provide an AI Governance Maturity Model to give you a clear idea of where you are in the governance spectrum, and how to reach the next step.

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.

A complete guide to AI risk assessment. Learn how to analyse AI systems, identify technical and ethical risks, prioritise controls, and build continuous oversight aligned with AI governance standards.

This roadmap provides a practical, structured guide for professionals who already understand the foundations of AI GRC and are ready to advance their skillset.

Learn how to build AI GRC skills with this three-phase roadmap and download the free PDF checklist to support your AI governance journey.

AI governance is changing compliance. Learn how AI GRC certification helps professionals keep up in the age of intelligent systems.

AI can re-identify individuals hidden in anonymous datasets. Learn how GDPR, the EU AI Act, and strong AI GRC frameworks protect privacy in an algorithmic world.

AI training data can unintentionally expose personal information through model memorization and data leakage. Governance frameworks such as ISO/IEC 42001 and the NIST AI RMF can help organizations mitigate these privacy risks.