Data protection

AI, Data Protection, and Digital Security for NGOs

A practical security pathway for using AI around sensitive information, consent, incident response, and digital hygiene.

Paid track planned

What this pathway is for

Teams handling beneficiary, partner, staff, research, or protection-sensitive information

Learning outcomes

  • Classify data sensitivity
  • Set safe AI boundaries
  • Prepare incident logs
  • Create a safer workflow checklist
Certificate boundary: Assessment blueprint exists; paid certification should launch after account-level progress tracking.

Materials

Templates and practical files attached to this pathway.

These files make the course useful even before paid certificates open. They should be used as practice material, workshop support, or organization readiness tools.

Next best action

If you are an individual learner, start with free material and register interest for the paid pathway. If you represent an organization, request a modified team session so the course can be adapted to your systems, policies, country context, and staff roles.