# Developer data-path pilot

All values are synthetic. Use an isolated test repository and an approved test account. No file runs commands, contacts a service or configures a product.

1. Choose one task in pilot-decision.md.
2. Complete the client and owner fields in data-path-register.csv.
3. Select only the relevant labels from synthetic-pilot-markers.json. They are not real credentials and may not trigger a data classifier. Agree a supported test rule or representative safe fixture with its owner.
4. If you manually test an approved AI client, use only these synthetic inputs. Record what actually happened and preserve the exact scope.
5. Route deeper client-specific questions to the linked guides; do not broaden the pilot by adding new accounts or connectors.

## Guide and source references

Canonical guide: https://aona.ai/solutions/ai-data-security-for-developers/
Source review: 2026-09-21
- Cursor: Privacy and Data Governance: https://cursor.com/docs/enterprise/privacy-and-data-governance
- OpenAI: Agent approvals and security: https://learn.chatgpt.com/docs/agent-approvals-security
- Aona: AI security coverage: https://aona.ai/resources/ai-security-coverage/