NIS2 & GDPR for AI Workflows

Why It Matters

AI workflows often touch sensitive data and critical processes. NIS2 and GDPR demand clear controls, logging, and accountability.

Controls to Implement

• Classification: map use cases to risk; define allowed data and purposes.
• Guardrails: input/output filters, PII masking, policy-enforced prompts.
• Logging & audit: immutable logs for prompts/responses/config; admin actions traced.
• Identity & access: MFA/Conditional Access; least privilege scopes for AI.
• Data handling: retention rules, deletion flows, and subprocessor transparency.

Evidence for Procurement

• DPA/AVV, subprocessor list, security overview.
• Logging and monitoring plan; incident response playbook.
• Change/Release policy, backup/restore summary, DR posture.

Delivery Pattern

• Discovery (1–2 w): risk/ROI, data scope, control matrix.
• Pilot (4–8 w): guarded workflow with KPIs, audit logs, rollback plan.
• Scale: governance cadence, SLOs, training, continuous validation.