AI can help an Australian small or medium business summarise documents, answer customer questions, support staff and automate routine work. The risk begins when the AI system can reach business data or take actions without clear boundaries.
Start with the data path
List what the AI system can read, what it can send, and which system receives the result. Separate public information from customer records, financial data, staff information and confidential business plans. Do not provide broad access simply because a connector makes it easy.
Use least privilege
Create dedicated service accounts and give each integration only the permissions it needs. Keep read access separate from write or delete access. Review API keys, tokens and administrator permissions regularly, and revoke them when a supplier, staff member or workflow changes.
Segment and test
Use separate development and production environments where possible. Test prompts, connectors and failure behaviour with safe data before connecting live records. A secure gateway, filtering rule or approval step can reduce the chance that an unexpected request reaches a critical system.
Log important activity
Record authentication events, data transfers, failed requests, privilege changes and actions taken by the AI workflow. Logs should help the business answer what happened, which account was used, what data moved and who approved a sensitive action.
Keep people responsible
Require human approval for payments, customer commitments, access changes, deletion, legal communications and other high-impact decisions. Document the fallback process if the AI service is unavailable or produces an unsafe result.
Sources
Leave a comment