As AI adoption accelerates across every industry, organizations face a new mandate: build smarter systems and safer ones. This session explores how to secure AI platforms from emerging cyber threats, how to certify both talent and technologies, and how to navigate increasingly complex AI compliance in cloud-first environments.
Participants will walk away with a deeper understanding of AI’s dual role—as both defender and attack surface—and how Zero Trust principles are evolving to include machine learning pipelines and model APIs. We’ll also dive into the growing importance of AI certifications in closing talent gaps, and how global standards like ISO/IEC 42001, EU AI Act, Microsoft AI, and cloud-specific regulatory frameworks are reshaping deployment strategies.

Key insights include:
- Why AI governance and post-deployment monitoring are essential not optional .
- How multi-cloud compliance introduces new risks for unregulated AI usage.
- The shift from certifying only people to certifying AI systems, datasets, and tools.
- The business case for embedding ethics, transparency, and explainability by design.
- How cross-functional alignment from engineering to legal is critical to responsible AI.

In today’s AI-powered enterprise, trust is no longer implied it must be engineered.