Teamo uses a tiered security policy to meet the needs of organizations:
- Private data processing: Support for uploading internal files in PDF/Excel format, etc. All transmission storage is encrypted using AES-256, and intelligences are only accessed temporarily for the duration of the task
- privilege control: Enterprise Edition supports setting the scope of data visibility (e.g., financial data is restricted to CFO-related intelligences to call)
- Compliance Assurance: Fully compliant with GDPR requirements, providing data traceability functions to accurately verify the data source of each conclusion
Best Practice Recommendations:
- Sensitive data is uploaded through the encrypted channel of "Tools".
- Specify specialized intelligences in "Subordinate Members" (e.g., use only locally deployed Claude-Sonnet to process HR data)
- Regularly auditing of smartbody access logs in the Agents panel
The platform is SOC2 certified and all data will not be used for model training.
This answer comes from the articleTeamo: a multi-intelligence collaboration platform for knowledge workThe
May not be reproduced without permission:AI productivity tools " How can business users achieve a balance between data security and collaboration efficiency with Teamo?
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