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The U.S. Intelligence Community and Department of Defense are confronting a new reality: intelligence data is growing faster than traditional architectures can manage. As publicly available information (PAI), commercially available information (CAI), telemetry data, and threat intelligence expand to petabyte scale, the challenge of data gravity is making centralized data strategies increasingly costly, complex, and operationally limiting. This white paper explores why moving data is no longer sustainable and how organizations can accelerate intelligence workflows by bringing compute directly to the data.

The paper examines the emerging technologies, governance models, and AI-driven approaches reshaping intelligence operations, including decentralized architectures, federated access, zero-copy data frameworks, and trusted AI workflows that support faster, more scalable decision-making.