2026 was the year the SBIR program was reauthorized through 2031, FedRAMP-authorized LLMs became real in three clouds, and the NIST 800-53 control mapping for AI systems finally started to stabilize. The posts below document what mattered, in the order we published them.
Year Archive
Federal AI insights from 2026
Every Precision Federal insight published in 2026, grouped by month. A compact record of what we learned writing proposals, deploying systems, and tracking federal AI policy this year.
April 2026
2026-04-16 · Compliance
FedRAMP LLM Deployment in 2026
Azure OpenAI, Bedrock in GovCloud, Vertex at IL4/IL5, open-weight models on SageMaker HyperPod. What you inherit, what you still build, and the mistakes that fail an ATO.
2026-04-15 · SBIR
DoD SBIR 26.1: How to Pick a Topic
How to read a DoD topic, score it against your technical center, and filter 115 topics down to the three you can win and transition.
2026-04-14 · Policy
SBIR 2026 Reauthorization: What Changed
S. 3971 reauthorized SBIR/STTR through September 30, 2031. Per-firm caps, Strategic Breakthrough Phase II, and what small AI firms should do in the next 30 days.
2026-04 · Security
NIST 800-53 Controls for LLM Systems
A 2026 mapping of Rev 5 control families to production LLM systems, including families that need LLM-specific implementation statements.
2026-04 · Cloud
AWS GovCloud vs Azure Government for ML
Side-by-side for production ML: service parity gaps, managed LLM access, IL5 boundary differences, and the call we make when data is CUI.
2026-04 · ATO
ATO Acceleration Playbook for Federal AI
Inheritance strategy, parallel workstreams, assessor-ready artifacts, and legitimate shortcuts versus ones that bounce your package.
2026-04 · Security
Prompt Injection Defense for Federal LLMs
Input filtering, output constraints, tool-call allowlists, and why "system prompt hardening" is not a control.
2026-04 · MLOps
MLOps for Federal Production Systems
Model registry, drift monitoring, retraining cadence, and audit trails that match an RMF continuous-monitoring plan.
2026-04 · ML
RAG Architecture for Federal Document Corpora
Chunking, embedding, CUI-aware retrieval, and evaluation harnesses for document-heavy federal use cases.
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