Shone is the Director of AI Validation and Governance at Manulife, where he leads a global team responsible for overseeing AI model risks. With extensive experience in model development, validation, and governance, Shone addresses ethical and regulatory challenges of AI. He has been pivotal in developing Trustworthy AI frameworks and model risk policies for AI/ML models, ensuring transparency, accountability, and fairness. His interdisciplinary background in statistics, applied mathematics, and computing, coupled with hands-on experience in actuarial, financial, and AI models, allows him to draw parallels across domains, synthesize knowledge, and identify model limitations effectively. Shone is committed to advancing responsible AI practices and fostering a culture of ethical awareness in AI deployment.
As generative AI moves into production, the threat landscape is shifting from system breaches to manipulation of model behaviour through adversarial attacks such as prompt injection and jailbreaks. Traditional cyber controls, designed for deterministic systems, struggle to defend against these dynamic, context-driven risks. In this session, Shone Mousseiri, Head of Global AI Validation and Governance, and Angel Chang, Senior AI Governance Manager at Manulife, will explore why generative AI amplifies adversarial risk and why existing cyber defenses alone are insufficient. The discussion will examine how red teaming and model validation serve as critical assurance mechanisms, testing not only whether systems are secure, but whether they behave as intended under realistic and adversarial conditions. Drawing on real-world practice, the session will also explore practical approaches to operationalizing red teaming across the AI lifecycle.
• Understanding adversarial risks in generative AI environments.
• Implementing red teaming across the AI lifecycle.
• Strengthening model assurance through continuous validation.
Check out the incredible speaker line-up to see who will be joining Shone.
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