- Potomac Institute for Policy Studies
Securing Trust in AI Technology
- Potomac Institute for Policy Studies
The data centers for the Genesis Mission and other national security programs will house vast amounts of sensitive data, intellectual property, and national infrastructure information. This private, closed-door session explored the intersection of cybersecurity, AI technology, and policy. Panelists discussed data protections, regulatory frameworks, and emerging threats in an evolving digital landscape.
Speakers
Hon. Lucian Niemeyer, CEO, Building Cyber Security; former Assistant Secretary of Defense
Igor Jablokov, Chairman and Founder, Pryon
Highlights
- Trust is the central strategic problem for AI.
- Reliance on AI requires resilience, analog backups, and a human-in-the-loop approach.
- AI is highly context-dependent, and deployment should be for specific use cases to avoid introducing systemic risk.
- AI has real physical vulnerabilities in the form of data centers, power availability, hardware manufacturing, and facility security that make AI resilience as much an infrastructure probleman as a software or cybersecurity issue.
- Energy supply is a strategic bottleneck in the global AI competition.
- Sovereign AI and domestic production capacity are essential to suppot national security missions.
