Data privacy
We minimize data processed per workflow and anonymize where applicable. Data handling is designed to support privacy requirements in enterprise environments.
TeamViewer AI follows clear principles designed for security, governance, and practical adoption.
We minimize data processed per workflow and anonymize where applicable. Data handling is designed to support privacy requirements in enterprise environments.
Admins manage rollout and access via settings, permissions, and policies. Tia is strictly read-only and cannot apply changes on devices.
Data is encrypted in transit (HTTPS/TLS) and at rest (AES-256). Any data from TeamViewer client comes with client-side encryption (CSE) with HSM-protected key handling.
Clear boundaries on what AI can access and produce. Outputs and logs support oversight, reviews, and compliance processes.
Explore how each AI workflow saves you time, handles your data, and gives you clear control over how it operates.
Explore how each AI workflow saves you time, handles your data, and gives you clear control over how it operates.
Policy-controlled session summaries, protected end to end with anonymization and encryption.
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Tia's approach to troubleshooting is focused on the technical system data, not on user content or personal activity.
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Script drafts are generated, stored, and executed through permission-controlled workflows.
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Administrators control AI rollout and access through settings, permissions, and policies. Data collected and processed depends on the AI workflow:
Session data is first captured and anonymized on the TeamViewer client using a rule‑based anonymization layer. Sensitive elements (including emails, URLs, passwords, credit card numbers, and IPs) are removed before leaving the endpoint. Additional anonymization occurs in cloud‑based services.
Yes. TeamViewer uses third-party LLM services (Azure OpenAI and Google Gemini) under defined conditions to deliver AI outputs. For Session Insights, data is anonymized before broader processing, and the workflow uses encrypted transport (HTTPS/TLS).
TeamViewer third-party sub-processor details and terms are available here:
https://media.teamviewer.com/is/content/teamviewergmbh/teamviewer/central-image-hub/pdf/en/teamviewer-third-party-terms-en.pdf
Yes.
Session Insights and Tia use a public key obtained by the client over HTTPS. The corresponding private key is stored in encrypted form and additionally safeguarded by a key held in a certified Hardware Security Module (HSM). Before use, the private key is securely unwrapped within the HSM, and all HSM operations are fully audited.
We store tenant data for the duration of your contract, unless you choose to delete it beforehand. Customers can delete stored AI-related artifacts, such as Session Insights and scripts, in bulk at any time via administrative controls.
Upon termination of the contract, customers can export or extract their data in accordance with applicable requirements, including the EU Data Act where relevant. After termination, TeamViewer will handle remaining data according to the agreed retention and deletion process, subject to applicable legal and contractual retention requirements.
Data is anonymized on-device before broader processing and undergoes additional anonymization in cloud-based systems. Before and after cloud-based processing services are used, data remains handled in encrypted form. Any decrypted processing is limited to what is technically necessary to generate the requested output, and data is not retained in decrypted form beyond service delivery.
No. TeamViewer does not use customer data to train AI models. If we ever consider using fully anonymized data to train our AI models, this would only be done with strict safeguards, clear transparency, and updates to our documentation and applicable terms before any change takes effect.
Any such change would be reflected in our documentation and applicable terms.
Do you have more questions about TeamViewer AI security and privacy?
See the full FAQ page to learn more.