For organizations in heavily regulated industries, addressing AI governance is critical. An AI Governance & Risk framework puts bumpers in place that can protect an organization from legal and reputation risk.
The framework establishes a Three Lines of Defense model with board-level accountability, implements a four-tier risk classification system with quantifiable thresholds, and addresses emerging challenges including generative AI adoption, third-party vendor risks, and ESG considerations.
It demonstrates how organizations can balance innovation with risk management through systematic controls, including phased deployment protocols, continuous drift monitoring, adversarial testing, and role-based training programs. By integrating preventive, detective, and corrective controls across the AI lifecycle, the framework enables responsible AI adoption while maintaining regulatory compliance, operational resilience, and stakeholder trust.