How to Audit and Secure an AI-Generated Internal Application
A practical audit checklist for an internally built or AI-generated web application: access control, data, secrets, deployment, recovery and ownership.
Practical notes on manufacturing, connected systems and software that has a job to do.
Useful AI, machine learning and agents in operations, plus the engineering needed to make AI-built applications dependable.
A practical audit checklist for an internally built or AI-generated web application: access control, data, secrets, deployment, recovery and ownership.
Building an internal application with Claude Code? These seven signs show when a useful prototype needs architecture, security and production-readiness review.
A lot of the current AI discussion is focused on one question: How many jobs can be automated? That is a fair question. But in manufacturing, I think…
Picture a normal morning in a factory. A supervisor starts the day already chasing three things: one urgent customer order, one material shortage, and one job that might…
If your ISO/QMS documents live in folders and PDFs, the problem isn't storage - it's retrieval. Start with reliable search (findability), then add GraphRAG for answers with citations…
Most intranet search fails for predictable reasons: poor indexing, permissions, duplicates, and tribal knowledge. Here’s a practical Phase 1?Phase 2 approach: fix findability with proper search, then add…
If you’re new to the term, here’s the short version: a Unified Namespace (UNS) is a pub/sub information architecture for industrial data. It’s not a product. It’s not…
Artificial Intelligence is being hyped everywhere right now, but in electronics manufacturing, it’s not hype. When you pair AI with a real digital transformation strategy, it becomes a…
In today’s manufacturing landscape, the allure of Machine Learning (ML) and Artificial Intelligence (AI) often leads organisations to jump directly into complex solutions without a proper foundation. However,…
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