In this video, we look at some of the biggest mistakes organizations are making with ISO/IEC 42001 in 2026.
This free downloadable checklist will help you assess your organisation's position and readiness to begin the formal implementation of an AIMS.
If your organisation only uses third-party AI models, are you still responsible for the governance and oversight of that tool? Safeshield breaks down the answer.
A large part of AI governance involves systems the organisation didn’t build. Businesses increasingly rely on AI provided through external software, which creates a different governance challenge from working with technology developed entirely in-house. The organisation may have limited visibility into the underlying model, and some information may simply be unavailable. That doesn’t make effective governance impossible. It changes what the organisation can control and, as a result, the questions an AI GRC professional needs to ask. Understanding that distinction is useful for anyone learning how AI governance works in practice.
What is an impact assessment, what does it cover, and how does it help with ISO/IEC 42001? The Safeshield team answers all these questions. Includes downloadable checklist
If you’re looking at professional training in ISO/IEC 42001, Lead Implementer and Lead Auditor are two main options, but how do they compare, and which one is right for you?
If you’re researching AI GRC, ISO/IEC 42001 is one of the standards you’re going to need to understand. For individuals, it’s becoming an important reference point for AI GRC career development. For organisations, it offers a structured way to move from informal AI use or broad responsible AI principles toward a more formal AI management system. ISO/IEC 42001 is an international standard for Artificial Intelligence Management Systems. In simple terms, it gives organisations a framework for managing AI governance, risk, accountability and continual improvement. This guide looks at how an AI Management System works, where ISO/IEC 42001 fits into modern AI governance, and how the right training can prepare professionals to support its implementation or audit.
An evidence-led look at the growing demand for applied AI capability and the challenge candidates face when choosing between skills, frameworks and credentials.
Explore the emerging AI risks businesses need to understand, from psychological dependence and automation bias to misinformation and AI governance.
Who is responsible for an AI's decisions--and its mistakes? Is it the company that built the AI or the customer using it? According to regulations, there' s one clear answer.
AI is outgrowing traditional GRC frameworks. How can you keep up? Safeshield discusses the current industry and next steps for AI GRC.
Is AI GRC certification worth it? The answer depends on where you are, what you want, and whether the certification is part of a bigger career plan.
