LLM access control is the discipline of defining which users, applications, and workflows can send requests to which language models, under what conditions, and with what data restrictions. It is implemented at the API gateway layer — between the calling application and the LLM provider — to enforce policy without requiring changes to the model or the application code.
Shield Desktop

AI Endpoint Security for macOS & Windows | Qadar AI Shield Desktop

Govern local AI apps, clipboard movements, and file access with endpoint-aware policy that travels with the user.

Shield Desktop extends Qadar's policy engine to the operating system, governing how employees interact with AI on their macOS and Windows endpoints.

Local AI apps bypass your network controls.

When employees run local AI models or desktop-native AI apps, they bypass standard browser and network security layers. Sensitive data can move from protected files to unmanaged AI prompts via the clipboard or local file uploads without any policy check.

  • Clipboard copy/paste of sensitive data into native AI apps
  • Local file movements into unapproved AI tools and repositories
  • Shadow AI usage on native desktop applications that bypasses browser extensions

Endpoint-aware policy, clipboard controls, and local app governance.

Shield Desktop applies your organization's AI policy directly at the OS level. It monitors native AI applications, enforces clipboard restrictions for sensitive data, and provides visibility into local file-to-AI flows that other tools miss.

  • Policy enforcement for native macOS and Windows AI applications
  • Clipboard and file-share restrictions based on data classification
  • Endpoint audit telemetry forwarded to Shield Control for unified visibility

Qadar Shield Desktop capabilities

Native AI app controls

Enforce policy on desktop AI applications that bypass browser security. Govern tool use and data access for local LLM implementations.

Clipboard & file restrictions

Prevent sensitive data from being pasted into AI tools or uploaded from protected folders. Content-aware filtering at the endpoint.

App-to-domain flows

Define which desktop applications are allowed to send data to specific AI domains. Block unauthorized outbound AI traffic.

Protected folders & repos

Mark specific local directories or repositories as protected. Shield Desktop ensures their content never enters an AI prompt.

Endpoint audit telemetry

Capture detailed logs of desktop AI activity. forwarded automatically to Shield Control for a unified enterprise audit trail.

Centralized endpoint policy

Manage desktop security rules from the Shield Control cloud. Push updates to all endpoints instantly without user intervention.

Common questions about Shield Desktop

What is Shield Desktop?

Shield Desktop is Qadar's endpoint protection layer for macOS and Windows AI usage. It governs local AI apps, clipboard and file movement, and app-to-domain behavior with enforceable desktop policy.

How does Shield Desktop reduce desktop data leakage?

Shield Desktop applies policy to clipboard copy events, uploads, local file access, and AI desktop app interactions. It enforces controls before sensitive content leaves the endpoint.

What controls are included in Shield Desktop?

Shield Desktop includes local policy enforcement, app and domain controls, protected folders and repositories, clipboard and file-share restrictions, and endpoint audit telemetry forwarded to Shield Control.

Does implementing Qadar require changes to our application code?

No. Qadar operates as a transparent proxy. Your application's base URL changes to route through the Qadar gateway — typically one line in your configuration. The request format, SDK, and application logic remain identical. Your team ships no changes.

Talk to a technical specialist — 30-minute demo.

Every request is reviewed against your AI surface, control gaps, and rollout goals before the first call.

  • Scoped to your stack, workflows, and risk posture
  • Pilot-first rollout — no platform rip-and-replace required
  • Response from the Qadar team within 48 hours

Requests are reviewed by the Qadar team — response within 48 hours.