Access control
Role and workspace permissions define what people can see and do.
Security & trust
Clear controls for your team context.
Understand the principles behind access, data handling, and generated output. Final technical commitments should be confirmed in your agreement and product documentation.
Data movement
Connection scope and retention should remain visible to admins.
AI transparency
Generated results are labeled and designed for human review.
Operational trust
Status and support paths should be clear when something goes wrong.
Data principles
Your context should stay understandable.
A trustworthy workspace explains what enters the system, who can access it, and what happens when a connection is removed.
- Limit collection to product and service needs
- Use transport and storage protections appropriate to the implementation
- Provide controls for access, export, and deletion requests
- Document retention and subprocessor practices
Template disclosure: this page is product-design copy, not evidence of certification, audit completion, or a binding security guarantee.
Encryption
A production service should document encryption in transit and at rest, including the standards and exceptions that actually apply.
Authentication
Business plan concepts include SSO and provisioning. Supported providers and configuration details must be verified before launch.
Data retention
Retention periods and deletion workflows should be defined in customer-facing policy and contract documents.
Incident communication
A production organization should publish clear support and status channels with an accurate incident-response process.
Responsible AI experience
Keep humans in the decision loop.
Clarity’s interface is designed to label generated content, expose source context, and encourage review before a draft becomes shared work.
Generated means labeled
Summaries and plans should never masquerade as verified human-authored facts.
Sources stay nearby
Important answers can link back to the workspace material used to form them.
Editing stays available
People review, adjust, and approve output before it drives team communication.
Trust FAQ
Questions teams ask early.
Is Clarity certified to a security standard?
No certification is claimed by this template. Replace this copy only with verified current audit and certification information.
Is customer data used to train models?
The final product policy must state this precisely based on actual model providers, contract terms, settings, and data flows.
Where is data hosted?
Hosting regions and residency options depend on the real infrastructure and plan. Confirm them through sales or technical documentation.
How do I report a concern?
Connect the final site to a monitored security contact and publish the expected response path.
Evaluate with confidence
Bring your security questions.
Tell us what your team needs to review across access, integrations, retention, and AI use.