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.
May 2026
2026-05-26 · Defense
DARPA ASEMA: Encrypted Messaging Security in the Open Literature
DARPA ASEMA addresses the security of encrypted messaging applications. A reading of the open cryptographic-protocol, mobile-OS, and metadata-privacy literature that frames the problem.
2026-05-24 · Federal
Human-Autonomy Debrief Architectures: A Public-Lineage Reading
Public-research reading of human-autonomy debrief architectures — explainable AI, replay analysis, operationally meaningful debrief, and the engineering choices that work with real operators.
2026-05-21 · Defense
Passive Sonar Tracking with Deep Learning: Methods, Calibration, and What Survives Review
Public research reading of passive sonar tracking with deep learning — narrowband and broadband processing, tracking-by-detection, joint detection-tracking, and data-scarcity techniques.
2026-05-20 · AI
AI-Assisted Modernization of Legacy Federal Software Systems
Public-literature reading of AI-assisted modernization for legacy federal software systems — reverse engineering, dependency analysis, test reconstruction, and the engineering discipline that scales.
2026-05-19 · Federal
Multimodal ISR&T at the Edge: Fusion Architectures
Public-literature reading of multimodal ISR&T fusion architectures at the edge — sensor combinations, fusion levels, latency budgets, and the engineering trade-offs that survive operational use.
2026-05-17 · Defense
Active Sonar Target Classification with Modern ML
Public-literature reading of active sonar target classification with modern ML — signal processing, learning architectures, public datasets, and the validation discipline.
2026-05-15 · AI
Air Force Software Innovation Trends in 2026
Reading of 2026 Department of the Air Force open-innovation SBIR solicitations to identify recurring software-shaped problem patterns, without speculating about submissions.
2026-05-15 · Federal
VR Walkthroughs for Naval Platform Design Review
Public-literature reading of VR walkthroughs for naval platform design review — MBSE integration, CAD/PLM bridges, operator-in-the-loop methods, and the engineering discipline that survives review.
2026-05-13 · AI
Space Domain Awareness: ML Pipelines in the Open Catalog
Open-literature reading of space domain awareness ML pipelines — observation cataloging, association, anomaly detection, conjunction analysis, and the engineering choices that survive operational deployment.
2026-05-12 · AI
Machine Learning for Chemical and Biological Threat Detection: What the Open Literature Has Settled
A public reading of the machine-learning literature on chemical and biological threat detection — sensor modalities, signal processing, public datasets, and the engineering choices that show up in agency-funded prototypes.
2026-05-08 · Defense
Counter-UAS Detection in Mobile Operations: Multi-Modal ML Methods
Public-literature reading of multi-modal ML methods for counter-UAS detection in mobile, cluttered environments — RF, EO/IR, radar, acoustic fusion, and the engineering trade-offs.
2026-05-07 · AI
Adaptive Training with Reinforcement Learning: Curriculum, Mastery, and Operator Trust
Public-research reading of adaptive training systems for high-stakes operational domains — curriculum learning, intelligent tutoring, and reinforcement-learning patterns that scale.
2026-05-06 · Defense
Polar Navigation and GPS-Denied PNT: Methods When the Compass Lies
Public-methods survey of polar navigation and GPS-denied PNT — magnetic anomalies, celestial techniques, inertial holds, signals of opportunity, and the engineering trade-offs.
2026-05-04 · Compliance
DD-2345 and the ITAR Path for Software-First Federal Firms
Public-mechanics reading of the DD-2345/JCP enrollment path for software-first federal firms — process, timing, document handling, and the compliance posture that scales.
2026-05-02 · Defense
AI for Additive Manufacturing in Army Sustainment Logistics
Public-literature reading of AI for additive manufacturing in Army sustainment — process monitoring, defect detection, qualification, and the lab-to-field gap.
2026-05-02 · Compliance
ITAR-Controlled Direct-to-Phase-II Air Force Programs: Compliance Mechanics
Reading of the published mechanics for ITAR-controlled Direct-to-Phase-II Air Force programs — DD-2345, JCP enrollment, Volume 5 evidence requirements, and the compliance discipline reviewers expect.
June 2026
2026-06-29 · Security
Deepfake Detection and Media Forensics for Federal Missions
Deepfake detection for federal missions: generation families, artifact and frequency cues, C2PA provenance, the generalization problem, and evaluation discipline for acquisitions.
2026-06-24 · Compliance
Cyber Incident Reporting Obligations for Federal Contractors
The DFARS 252.204-7012 72-hour report to DIBNet, what counts as a reportable incident, media-preservation duties, and how CMMC, SPRS, and the proposed FAR CUI rule fit.
2026-06-21 · Maritime
From Sonar to Satellite: The Software Behind Maritime Domain Awareness
A public-record tour of maritime domain awareness software — space-based radar, ship transponders, undersea acoustics, tracking, and the data fusion between them.
2026-06-20 · AI
Small Language Models for Federal Edge Deployments
Why disconnected, bandwidth-limited federal environments push toward the 1-15B model class — what it does well, where it breaks, quantization, licensing, hardware, and evaluation.
2026-06-16 · Compliance
DCAA Accounting System Readiness for SBIR Firms
What the SF 1408 pre-award accounting survey checks, why cost-type Phase II triggers it while fixed-price Phase I does not, and how to be ready.
2026-06-11 · Business
LPTA vs Best-Value Tradeoff: How Federal Source Selection Works
How federal source selection works under FAR Part 15: LPTA versus best-value tradeoff, price realism, Section M factors, and what each means for a small firm.
2026-06-09 · SBIR
Government-Furnished Data: How Performers Actually Get It
How performers actually receive government-furnished data on federal AI efforts: requesting it early, handling it by class, secure transfer, and giving it back.
2026-06-06 · SBIR
What Happens After You Submit: The SBIR Evaluation Timeline
How a SBIR proposal moves from submitted to award: the compliance screen, the evaluation panel, adjectival ratings, the selection notice, the silence, and the debrief.
2026-06-02 · Digital Twins
Digital Twins in Federal Operations: What the Engineering Actually Requires
What a digital twin is and is not, what DoDI 5000.97 changed, and why the real engineering is data plumbing, state synchronization, and validation.
2026-06-02 · SBIR
How Small Firms Structure STTR University Partnerships
How small firms build STTR university partnerships: the research-institution requirement, the 40/30 work split, subaward budgets, and the IP agreement.
July 2026
2026-07-10 · Navy
Navy AI in 2026: Priorities, Programs, and Where Small Firms Fit
A public-record map of the Department of the Navy's 2026 AI posture: the offices, programs, enterprise infrastructure, and pathways where small firms fit.
2026-07-10 · Autonomy
The Autonomy Stack: How Unmanned Systems Software Earns Its Way Into the Field
Navigation without GPS, planning under uncertainty, multi-vehicle coordination, run-time assurance, and the test discipline that separates autonomy demos from fielded systems.
2026-07-09 · AI
Evaluating Retrieval Quality in Federal RAG Systems
Evaluating retrieval quality in federal RAG: separating retrieval from answer evaluation, gold question sets, recall and rank metrics, groundedness, and drift.
2026-07-06 · SBIR
From Selection Notice to Signed Award: SBIR Negotiation and Kickoff
What happens between an SBIR selection notice and a signed contract: contracting officer review, negotiation, award paperwork, data rights, kickoff, and invoicing setup.
2026-07-02 · Business
Fiscal Year-End: How Small Firms Should Read Federal Q4
How small firms should read the federal fourth quarter: which awards move fast at fiscal year-end, what does not, and why Q4 is won in the spring.
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