Homeland Security

In the race to embed artificial intelligence into every system, speed is winning—but trust is becoming more critical than ever. Each week brings headlines about AI breakthroughs, from generative models capable of drafting reports to predictive tools that promise to transform logistics and battlefield decision-making. Yet behind the buzz lies an uncomfortable reality: too many federal solutions treat AI as an afterthought—something bolted on rather than built in. That approach may accelerate deployment, but it leaves mission-critical systems fragile, exposed, and untrusted in the moments that matter most.

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• Disciplined Research & Development (R&D) is critical to explore practical AI applications, balancing experimentation and collaboration to assess feasibility and viability
• Continuous R&D helps organizations balance capability, uncertainty, and transparency for deeper understanding and proactive adaptation to AI advancements
• Integrating AI requires significant changes in technology, team structures, and workflows that R&D helps identify
• Generative AI models, particularly AI agents, offer new capabilities for autonomous tasks

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The ongoing conflicts between Ukraine and Russia and Israel and Iran have demonstrated that the future of warfare will demand advanced missile defense systems. The growing inevitability—and potential impacts—of orbitally enabled attacks both in primary conflicts and resource wars underscores the need for national defense and security infrastructure in space.  

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