On Demand

Delivering on the complexities of Golden Dome—a tightly integrated system-of-systems architecture, persistent sensor constellations, and resilient command-and-control networks—will require new levels of integration across domains, services, and classifications.
        
During this session, speakers will explore the technical and operational challenges in fielding and sustaining a layered defense architecture, including questions around data fusion, interoperability, cyber resilience, and sustainment logistics. The conversation will provide insight into the most critical capabilities of an operationally viable Golden Dome, including where industry innovation will be most needed.

As the Golden Dome for America evolves into a tightly integrated system-of-systems—spanning space assets, interceptors, and resilient command-and-control networks—success depends on moving trusted data across domains at machine speed. Achieving "decision dominance" requires moving beyond fragmented security tools toward a software-agnostic roadmap built on platformization. This session explores how an integrated, open-system architecture enables Precision AI to close the gap between vendor demos and real operational value. Attendees will learn how to build the cyber resilience and data fusion capabilities necessary to secure the future of integrated missile defense.

Golden Dome’s scope demands careful coordination across emerging space firms, software providers, and specialized component manufacturers. Success will hinge on how effectively companies align capital investment, workforce development, and supply chain resilience within the SHIELD framework. During this panel, industry leaders will reveal strategies for aligning internal investments, forming strategic partnerships, and balancing competition with collaboration. The discussion will provide a candid perspective on where industry sees opportunity, where uncertainty remains, and how companies are shaping strategies to secure a long-term role in the Golden Dome ecosystem.