Closing the AI Governance Evidence Gap

Organizations are rapidly adopting AI, but many still struggle to prove their AI governance programs are working as intended. Join SolidCore.ai, Schellman & Carahsoft to learn how organizations can close the AI governance evidence gap with continuous visibility, automated compliance and operational controls aligned to the National Institute of Standards and Technology AI Risk Management Framework (NIST AI RMF).

According to Schellman's 2026 State of AI Governance Report, while 74% of organizations believe they could pass an AI compliance audit today, only 27% have fully mature AI governance programs. The challenge isn't creating policies. It's producing the continuous, auditable evidence needed to demonstrate governance in practice.

In this session, you'll learn how to:

• Close the AI governance evidence gap by capturing the continuous, auditable evidence needed to demonstrate compliance.
• Operationalize NIST AI RMF with SolidCore.ai through automated evidence collection and framework-aligned governance.
• Strengthen AI oversight on AWS and Microsoft with secure deployment inside your Virtual Private Cloud (VPC), without application changes or data leaving your cloud boundary.
• Enable audit-ready AI governance with on-demand compliance reporting and policy enforcement for generative AI workloads.