product
Shield Desktop
Control model usage, clipboard movement, and local AI apps from the endpoint.
LLM Access Control
Not every model should be available to everyone
Teams use different models, send different data, and need different permissions. Qadar AI enforces who can use which model, what data can be sent, and which tools are allowed.
The gap
From risk signal to governed action
A Shield-Web-style walkthrough that shows the challenge first, then the control path Qadar AI applies in production.
Challenge
The access gap
New models, new providers, and new AI-powered tools appear in your organization faster than your security team can evaluate and approve them. Without runtime access control, model usage expands without governance — creating data exposure, compliance gaps, and shadow AI sprawl.
Before Qadar AIChallenge
Signal detected
The access gap
Risk context
New models, new providers, and new AI-powered tools appear in your organization faster than your security team can evaluate and approve them. Without runtime access control, model usage expands without governance — creating data exposure, compliance gaps, and shadow AI sprawl.
Qadar AI response
Enforce policy before each request reaches the model
Qadar AI provides a runtime policy layer that controls model access, data classification, and tool-use permissions. Every AI request passes through policy evaluation before reaching the provider. Model allowlists, data sensitivity rules, and tool-use controls are enforced from one console.
After Qadar AIQadar AI response
Policy decision
Enforce policy before each request reaches the model
Governed action
Qadar AI provides a runtime policy layer that controls model access, data classification, and tool-use permissions. Every AI request passes through policy evaluation before reaching the provider. Model allowlists, data sensitivity rules, and tool-use controls are enforced from one console.
Capabilities
What LLM access control looks like with Qadar AI
Model allowlists
Control which AI models and providers your teams can access. Define approved model lists per team, role, and use case. Unapproved model access is blocked with structured logging.
Data classification controls
Classify data in AI prompts before submission. Sensitive content is detected, flagged, redacted, or blocked based on your data classification policy.
Tool-use permissions
Control which tools AI agents can access and what actions they can take. Per-tool and per-agent permissions enforce boundaries on autonomous AI behavior.
Group-based access policies
Assign model access and data handling policies by team, role, and department. Engineering, legal, and operations teams each get access controls scoped to their needs.
Usage analytics
Monitor model usage patterns across teams and surfaces. Understand which models, providers, and tools are being used and how data flows through AI workflows.
Provider-agnostic enforcement
One policy layer governs all AI providers — OpenAI, Anthropic, Google, and others. Access controls work consistently regardless of which provider the team is using.
FAQ
Questions teams ask about LLM access control
Questions teams ask about LLM access control
FAQ
Yes. Shield Control supports model allowlists and blocklists. You can approve specific models per team and block unapproved models across the organization. Policy changes propagate to all surfaces immediately.
Qadar AI inspects prompt content before submission and classifies data against your defined categories — PII, financial data, proprietary content, and custom classifications. Sensitive content triggers policy actions: warn, redact, or block.
Yes. Access control policies set in Shield Control enforce across Shield Web, Shield Desktop, and Shield Mobile. One policy definition governs all surfaces where your team interacts with AI models.
Related
Go deeper on LLM access control
product
Shield Mobile
Apply model and data access rules to iOS, Android, and managed workspaces.
solution
AI Agent Security
Extend access control to autonomous agents, tools, and runtime decisions.
See model, data, and tool controls in one runtime policy layer
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