
guide
Understand model access, prompt controls, and endpoint risks for local and desktop AI workflows.
Shield Desktop
Shield Desktop extends AI governance to macOS and Windows endpoints. Local AI apps, clipboard actions, and file movements are governed by the same policy engine that controls browser and mobile surfaces.
The challenge
A Shield-Web-style walkthrough that shows the challenge first, then the control path Qadar AI applies in production.
Desktop AI tools like local Copilot integrations, Ollama, and native AI assistants operate outside your browser and network perimeter. Your proxy and DLP do not see clipboard pastes, file uploads, or local model interactions.
Signal detected
Local AI apps bypass your network controls
Risk context
Desktop AI tools like local Copilot integrations, Ollama, and native AI assistants operate outside your browser and network perimeter. Your proxy and DLP do not see clipboard pastes, file uploads, or local model interactions.
Shield Desktop deploys as a lightweight agent on macOS and Windows. It enforces policy on local AI app interactions, clipboard movements, and file actions — feeding telemetry back to Shield Control for unified governance.
Policy decision
Endpoint-aware policy, clipboard controls, and local app governance
Governed action
Shield Desktop deploys as a lightweight agent on macOS and Windows. It enforces policy on local AI app interactions, clipboard movements, and file actions — feeding telemetry back to Shield Control for unified governance.
Capabilities
Govern interactions with local AI applications including IDE integrations, native assistants, and self-hosted models. Policy enforcement happens at the endpoint before data leaves the device.
Control clipboard paste and file upload actions into AI tools. Prevent sensitive content from reaching models through copy-paste workflows that bypass browser controls.
Monitor and govern data flows between desktop applications and AI service domains. Detect and control when desktop apps send data to AI providers.
Designate sensitive directories and code repositories as protected zones. Shield Desktop prevents content from protected locations from being sent to AI tools.
Every endpoint AI interaction generates structured telemetry that feeds into Shield Control. Desktop activity appears in the same audit trail as browser and mobile interactions.
Endpoint policies are managed centrally in Shield Control. Policy changes propagate to all enrolled devices without manual configuration on individual endpoints.
FAQ
Questions teams ask about Shield Desktop
FAQ
Shield Desktop installs as a lightweight agent on macOS and Windows through your existing device management tooling — Jamf, Intune, or similar MDM/UEM platforms.
The agent is designed for minimal resource usage. Policy evaluation happens locally with low latency. Background telemetry transmission is batched and optimized to avoid performance impact.
Yes. Shield Desktop supports protected folder and repository designation. Content from protected locations is blocked from reaching AI tools, with policy violations logged in Shield Control.
Yes. Shield Desktop governs interactions with local and self-hosted AI models running on the endpoint. Policy enforcement covers local model usage alongside cloud-based AI tools.

guide
Understand model access, prompt controls, and endpoint risks for local and desktop AI workflows.

glossary
Get concise definitions for model controls, prompt security, and AI data-flow risk.

product
Extend the same governance model to iOS, Android, and managed mobile workspaces.
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