Open & Closed AI: Control, Security, and Sovereignty

The debate over open-weight vs. closed AI models has become a central fault line in national security and U.S. competitiveness. Organizations are weighing different approaches to control, capability, resilience, and risk, with open and closed models each offering distinct advantages and tradeoffs. This directly impacts how public sector and defense organizations choose to deploy, secure, and govern their AI infrastructure.

Join Domino CISO Chris Talevi, Kyle Miller, Senior Research Analyst at CSET, and Clementine Starling-Daniels, Vice President at Beacon Global Strategies, as they evaluate where open and closed models excel, and discuss how agencies can build a secure, sovereign foundation regardless of the model they choose.

You will learn:

• The merits and challenges of both open and closed models, including how they differ across security, control, capability, resilience, and operational responsibility
• What organizations should consider when deciding whether to self-host models, use external providers, or combine both approaches
• How to put the right governance, security controls, and guardrails around AI based on the model, environment, and risk of the use case