Deep dives, practical guides, and incident analyses from engineers who build Safeguard. No fluff, no vendor FUD — just what you need to ship secure software.
Drones, robots and planning agents add commands, data and software to utility work. Keep agents advisory, isolate their network, log every action.
AI agents add inputs, tools and decisions to drone inspection. Update the threat model with prompts, data and approvals using CISA, NIST and OWASP.
Running an LLM on premises does not settle data residency by itself. Six common mistakes, from forgotten logs to cross-border transfers, and what to check.
Where prompts, files, logs and embeddings live decides data residency. Use this checklist to map data flows, transfer rules and where on-prem models help.
An on-prem LLM keeps prompts on your hardware, which helps data residency, but logs, embeddings and access still need controls. How to think it through.
Provenance tracking, dataset versioning and isolation help against poisoned data. Trusting a download or output filters alone do not. A practical sort.
Claude Team lists $20 per Standard seat billed annually and $100 for Premium, with per-person limits. Which security tasks fit. Prices checked 18 Oct 2026.
Claude Max starts at 100 dollars a month with usage limits but no fixed message counts. Human paced security work fits best. Prices fetched 18 Oct 2026.
In a chemical plant the key question is how much an AI agent may decide. A four-rung ladder, mapped to IEC 62443 roles and NIST OT guidance, with limits.
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