Why alignment matters
If AI evidence contradicts privacy or security evidence, procurement confidence drops. The same AI system inventory should connect to data maps, supplier records, risk assessments, access controls, and incident processes.
GDPR evidence
Where personal data is involved, teams need to understand lawful basis, purpose, data minimisation, retention, transparency, rights, DPIA requirements, and processor or controller relationships.
ISO 27001 evidence
Information security evidence should cover access, supplier risk, asset management, change control, monitoring, incident response, and security review for AI vendors and features.
Practical evidence checklist
- Link AI systems to data protection records and DPIAs where needed.
- Map personal, sensitive, confidential, and customer data flows.
- Connect AI vendors to supplier risk and subprocessor evidence.
- Review access controls, logging, monitoring, incident routes, and change controls.
- Align AI acceptable use with security and data protection policies.
- Keep buyer-facing answers consistent across legal, security, product, and commercial teams.
FAQ
Does ISO 27001 cover AI governance?
ISO 27001 helps with information security controls, but AI governance usually needs additional evidence around intended use, model or vendor behaviour, oversight, transparency, and risk classification.
When is a DPIA needed?
A DPIA may be needed where AI processing is likely to result in high risk to individuals. The exact position should be assessed with data protection expertise.
What should procurement see?
Procurement should see a joined-up view of AI use, data protection, security controls, vendor evidence, and incident or escalation routes.