Enterprise-level data security protection system
For data security concerns in data analytics scenarios, camelAI offers multiple safeguards:
- encrypted transmission: All database connections are encrypted using the TLS 1.3 protocol
- memory protection: AES-256 encryption to store data, query cache is automatically cleared after 5 minutes
- Privacy Controls
- Manual immediate clearing of specific query history in account settings
- Enterprise Edition supports full audit logging
- Deployment Options
- Public Cloud: Standard Security Solutions Fit Most Enterprises
- Private cloud: localized deployment option for sensitive industries such as finance/healthcare
Operational Recommendations:
- Enable RBAC functionality to restrict access to different roles
- Periodic review of authorized data source connections in Security Settings
- Automatically desensitize front-end displays using the "hide" function for datasets containing PII fields
This answer comes from the articlecamelAI: Querying databases with natural language to generate charts and insightsThe
May not be reproduced without permission:AI productivity tools " How to prevent the risk of sensitive data leakage during analysis?
