Data privacy when using AI Agent is to control how customer data is collected, stored, used and who can access it. This must comply with regulations, specifically Decree 13/2023/ND-CP on personal data protection, and be ethical. The stronger the AI, the more clear the security boundaries need to be. Zenify recorded 98.4% accuracy in AI processing.
TL;DR
- AI Agent processes customer data: tight needs control.
- Comply with Decree 13/2023 on personal data.
- Only collect necessary data, with clear purposes.
- Decentralization: AI only accesses authorized data.
- Sensitive approver, access log.
What data does AI Agent process?
Data type | Example
Guest information | Name, phone number, address
Behavior | Purchase history, conversations
Finance | Orders, invoices (no card)
Sensitive | Health, documents (if any)
Sensitive data has its own regulations, so strict control is needed.
Security principles when using AI Agent
1. Minimum collection
Only retrieve data necessary for processing.
Don't let AI collect indiscriminately.
2. Clear purpose
What is the data used for: serving customers, improving AI.
Notify guests (see Privacy Policy).
3. Assign access rights
AI only accesses authorized data.
Employees only see data within their scope.
4. Encryption and secure storage
Encryption when saving and transmitting.
Delete data when there is no longer a purpose.
5. Logging and monitoring
Who accesses what, what AI processes, all can be recorded (see AI QA).
Detect abnormalities early.
Comply with Vietnamese law
Decree 13/2023/ND-CP: regulates personal data protection, all processing requires customer consent.
Responsibility: the business is the data controller.
Recommended: has a clear privacy policy, consent mechanism and complaint handling process.
Note: this article is for reference only, not legal advice. You should consult further authorities.
Risks that need to be avoided
Risk | How to prevent
AI exposes customer information | Decentralize and control access scope
Data misused | Clear purpose, audit
Transmission leak | Encoding
Staff watching nonsense | Decentralization + log
AI learns from sensitive data | Remove sensitive data from training data
How to deploy secure AI
Data inventory: what type of data will the AI touch.
Minimum decentralization: AI only sees the data it needs to work with.
Someone approves: sensitive matter → person decides (see Human-in-the-loop).
Full logging: tracks access and processing.
Update regulations: review when laws change.