Put AI to work without giving away the sensitive parts.

Enterprise reality

Useful AI needs real business context.

Employees get the most value from AI when they can work with documents, customer cases, internal terminology, operational records, and other real context. That is also where personal data, identifiers, confidential details, and intellectual property can enter a prompt.

Blanket bans make AI less useful and are difficult to enforce. Sano Work creates a technical protection step before inference so teams do not have to rely only on perfect user behavior.

• Protect sensitive context before model inference
• Support normal work instead of banning useful context
• Apply one protection pattern across leading models
• Keep the user experience understandable

Local protection

Sensitive data is handled before it travels.

Sano Work detects protected information and replaces it with safe placeholders on the user’s device. The model receives the context required to complete the task without receiving the original sensitive values.

When the response returns, the protected values can be restored locally for the authorized user. Sano does not need to collect the original values in a central cloud service to perform this protection step.

• On-device detection and replacement
• Local restoration for the authorized user
• No central Sano vault of original sensitive values
• Protection before requests reach model providers

Operational adoption

A safer path from experimentation to everyday use.

Security and privacy teams need a clear data flow, while employees need tools that do not add unnecessary friction. Sano Work is designed to make that boundary visible and usable across daily AI tasks.

The platform is intended to complement organizational policies, provider agreements, access controls, and legal assessment. It provides a technical privacy layer; it does not turn every AI use case into an automatically compliant one.

• Clearer data flows for security review
• A consistent workspace for approved AI use
• Suitable for German and English working contexts
• Designed for European organizational requirements

Sensitive context follows a shorter, safer path.

01 · Detect locally

Sano identifies supported types of sensitive information on the user’s device before inference.

02 · Protect the request

Original values are replaced while the remaining context is sent to the selected AI model.

03 · Restore locally

The answer returns and protected values are restored for the authorized user on the device.

Questions about secure AI for enterprise

Does Sano Work run every AI model locally?

No. Sano Work’s distinguishing protection step runs locally before a request is sent. This allows teams to use capable external models while reducing the original sensitive values those models receive.

Does local protection automatically make every use case GDPR-compliant?

No technical product can make that universal promise. Compliance depends on the use case, data, legal basis, contracts, configuration, and organizational controls. Sano Work is designed to support data minimization and privacy by design as part of that wider assessment.

Can an organization use different model providers?

Sano Work is designed around access to multiple leading proprietary and open models. Provider availability and deployment options can evolve, while the protection concept remains independent from a single model.

Explore the privacy architecture

Privacy-First AI Workspace

A practical workspace for protected everyday AI use across teams.

AI Data Protection

How local detection and replacement reduce sensitive information sent to models.

Make secure AI adoption a technical capability.

Tell us which teams, data, and AI workflows matter most. We will help you evaluate where Sano Work can create a safer path to adoption.