How do you protect customer data?

Protect customer data by collecting only what you need, encrypting it in transit and at rest, limiting access by role, requiring SSO and multi-factor authentication, logging who accessed what, vetting vendors and AI tools for how they store and use data, training staff, deleting data you no longer need, and having a tested incident response plan.

Ten practices

  1. Minimize what you collect and keep.
  2. Encrypt data in transit and at rest.
  3. Control access with roles and least privilege.
  4. Use SSO and MFA, and automate user provisioning with SCIM.
  5. Log access and changes, and review the logs.
  6. Redact sensitive fields such as card numbers in tickets and AI prompts.
  7. Vet vendors, including AI providers: data retention, training use, certifications.
  8. Train staff on phishing and data handling.
  9. Delete on schedule and honor deletion requests.
  10. Prepare for incidents with a plan, contacts and customer communication templates.

AI-specific risks

RiskControl
AI sees more than the user shouldPermission-aware retrieval
Sensitive data in promptsRedaction and data-loss rules
Unclear storageAudit what the AI stored and allow deletion
Unapproved actionsApproval gates and logs

Frequently Asked Questions

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