Compliance · Cloud Architecture

Designing ISO 27001-ready AI infrastructure

ISO 27001 readiness is less about buying tools and more about making the system legible.

Know your asset boundaries

You need to know where model inputs, outputs, embeddings, documents, secrets, and operational data live. That sounds obvious, but many teams cannot produce a clean boundary map once AI services are spread across vendors.

Access and change control come first

The fastest way to improve ISO readiness is to tighten identity, environment separation, deployment approval, and evidence of change. Those controls help both auditors and engineers because they reduce ambiguity.

Recovery cannot be an afterthought

AI systems still sit on infrastructure. Backups, recovery runbooks, log retention, and provider contingency planning all matter. A resilient platform is easier to certify than a clever one.