As enterprise adoption of AI accelerates, so too do the associated risks. This webinar bridges strategic oversight and technical action: aligning standards-based governance with practical security testing to manage AI risk end to end.
We’ll explore how to apply frameworks like NIST AI RMF and ISO/IEC 42001 to real-world AI use cases – from tools like Microsoft CoPilot to custom OpenAI-based applications – and show how penetration testing and technical controls can validate and strengthen those governance efforts.
Whether you’re implement AI or already have it deeply embedded in your operations - through Microsoft CoPilot, large language models, or bespoke solutions - this session will provide actionable guidance and a clear roadmap for managing AI securely, responsibly, and strategically.
How to assess AI systems using NIST & ISO standards
Why AI-specific pen testing is critical to risk mitigation
What steps to take when rolling out tools like CoPilot
Who in your organisation should own AI risk
How to combine governance and testing in a single, repeatable model
