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Protecting federal AI systems: A primer on RAG and securing AI-driven data workflows

Protecting federal AI systems: A primer on RAG and securing AI-driven data workflows

Federal News Network | May 7, 2026

In the federal government, where artificial intelligence is being used to accelerate research, modernize services and reduce analytical burdens, Retrieval-Augmented Generation (RAG) is becoming the dominant AI architecture. RAG is a model that connects large language models (LLMs) to live agency knowledge bases — enabling grounded, mission-specific responses, rather than generic outputs.

Unfortunately, as RAG gains ground, the risks grow as well…