Use NIST and NCSC as review frames
Review AI delivery risk and plan the handover. Lesson 1, 14 min.
Public frameworks give you a list of topics to review. They do not give you a verdict.
The NIST AI Risk Management Framework
NIST published the AI Risk Management Framework (AI RMF 1.0) in January 2023. Use of the framework is voluntary. Its core has four functions: Govern, Map, Measure and Manage.
The site's guides treat the framework as a way to structure the review of context, measurement and response. The framework treats risk management as an ongoing activity. It is not proof that a vendor is safe.
The NCSC guidelines
The UK National Cyber Security Centre published the Guidelines for secure AI system development. They cover four stages: secure design, secure development, secure deployment and secure operation and maintenance.
Use the guidelines to inspect system boundaries and permissions. Use them to ask the supplier how it monitors a deployed system and how it responds to incidents.
What these sources are not
Neither source is a universal legal compliance check. Neither one replaces advice from a qualified local adviser. Recheck local law before launch and when the use changes.
Keep a risk record
Make one row for each risk. Write down:
- The risk, in one sentence.
- Where it appears: the task, the data, the users.
- How you will measure it.
- The owner.
- The response.
- The status: open, reduced, accepted or closed.
Record unresolved risks before you choose a supplier. Record the decision to proceed or to stop, with the date and the person who decided.
Sources
- NIST, AI Risk Management Framework (AI RMF 1.0)
- NCSC, Guidelines for secure AI system development
- AIAgencies guide: How to vet an AI agency (this site)
- AIAgencies guide: AI rules, permits and data approval (this site)