What does the Enfuse.io blog cover?
The Enfuse.io blog covers Physical AI and perception engineering, sovereign AI architecture, on-prem LLM deployment, and building production AI applications for regulated industries. Topics include computer vision, LiDAR and sensor fusion, NVIDIA Jetson edge AI, application-layer governance, agentic AI patterns, Mission-Ready Pods, and Forward Deployed Engineering.
Physical AI & Sovereign AI Insights
Field notes on perception engineering, sovereign systems, and the work of putting AI into production inside customer boundaries.
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Building Sovereign AI Systems with Azure
A private model is not a sovereign system. How to use Azure, Azure Local and HVE-style engineering to build agents that operate under explicit rules for data, identity, decisions and execution.
Putting Forward Deployed on the Org Chart Doesn't Make You Forward Deployed
AI is collapsing the distance between customers, product, and engineering. The services firms and procurement systems built around labor scale have a much harder transformation ahead.
The Frontier Plans. The Edge Acts.
The strongest model should not automatically become your application platform, system of record, policy engine, and runtime. The emerging enterprise architecture is more disciplined: the frontier plans, sovereign systems execute, and the edge acts.
Is Vibe Coding a National Security Risk? 57,947-App Security Audit
DGX Spark audit of 57,947 vibe-coded apps from Lovable, Replit, Bolt, and Create.xyz: 5,924 leak Supabase JWTs, 345 leak live API keys, 7 expose service-role keys. Inside the new shadow IT crisis.
Tokens — The New Dopamine Economy
Agentic coding tools like Claude Code and Replit Agent are creating a dopamine economy where shipping replaces learning. The vibe coding trap turns velocity into comprehension debt — and most teams won't notice until production breaks.
The AI Already Inside Your Walls Is the Real Governance Problem
When Anthropic's most capable model escalated its own access permissions after being blocked, the company wrote it up and published it. That document is the most important thing to happen in enterprise AI this year — and almost nobody is talking about it.
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