How do you evaluate an LLM for security work?
Test an LLM on your own security tasks with labeled answers, repeat runs and a failure log. Six mistakes teams make when they pick a model on benchmarks.
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.
Test an LLM on your own security tasks with labeled answers, repeat runs and a failure log. Six mistakes teams make when they pick a model on benchmarks.
Maintenance agents that read telemetry and open work orders add new paths to a lift. Five questions to redraw the threat model, with standards we verified.
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.
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