AI Risk Management in Practice: From Governance to Testing

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.

Key discussion points include:

• 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