Resource Library

This research highlights the critical need for robust AI governance to balance innovation with risk mitigation. Key challenges include resource constraints and the complexity of AI deployments, while organizations are increasingly adopting risk-based approaches and frameworks like NIST and ISO. Addressing data, model, and user risks is paramount for responsible AI integration and value realization.

Get actionable, research-backed insights on securing AI.