AI Governance: Building a Secure Strategy 

Organizations are rapidly adopting artificial intelligence to stay competitive, but new technology introduces new vulnerabilities. How do you balance innovation with security? 

In our latest webinar, Helen Spicer and Patrick Sullivan break down exactly what you need to know about developing a comprehensive AI risk management strategy. They cover the hidden risks of adoption and share practical steps to keep your data secure.

Watch the full webinar above, and read on for a quick overview of the key takeaways. 

The growing risks of AI adoption 

Before building a strategy, you must understand the threat landscape. According to our 2026 Compliance Benchmark Report, four out of five organizations using AI face customer questions about security. Furthermore, 72% of companies are concerned about how AI impacts their compliance efforts. 

The biggest risks include potential data breaches, AI-powered cyber attacks, and the sheer complexity of managing new vendors. While a data breach is expensive to fix, the damage to your company’s reputation costs much more. 

What is AI governance? 

AI governance is a strategic approach to AI risk management. It provides clear structure to the unknowns that come with adopting new tools. 

There is no one-size-fits-all solution for governance. Organizations approach it differently based on their specific needs. Some companies pursue formal frameworks like ISO 42001 certification, while others choose to self-assess or add AI controls to their existing compliance audits. 

The benefits of proactive risk mitigation 

Taking a passive approach puts your customer data in danger. Developing a proactive risk strategy allows you to: 

• Document and communicate controls clearly for auditors, boards, and customers  
• Manage risks systematically through repeatable processes like bias audits  
• Train your employees on responsible AI adoption  

It also helps you prepare for emerging regulatory paths. For example, with 47% of organizations expecting impacts from the EU AI Act this year, prioritizing EMEA AI compliance is essential for protecting your operations. 

How to start your AI risk management journey 

You do not have to tackle these challenges blindly. You can take actionable steps today to secure your environment. Start by understanding exactly how AI intertwines with your current systems. Evaluate both your in-house tools and your third-party vendors. Next, consult internal stakeholders to pick a strategy that fits your industry, size, and customer base. Finally, engage with trusted partners early to navigate this complex landscape and avoid the financial penalties of non-compliance.