Enterprise Private LLM
Runs frontier-class language models inside customer VPC, on-premises, or customer-controlled cloud tenant.
What it does
Runs frontier-class language models inside customer VPC, on-premises, or customer-controlled cloud tenant. Prompts and outputs never leave the customer environment. LogosGuard policy engine and audit log layered on top.
- Preventing sensitive data leakage into AI tools
- Auditing employee AI usage
- Redacting PII and PHI before AI submission
- Running private LLMs inside customer environments
- Category
- Application, cloud and data security
- Users
- Individuals, Power users, Teams, Organizations and 3 more
- Public API
- Not offered
- Deployment
- Self-hosted, On-premises
Not yet disclosed: platforms, languages and support channels.
Product insights
Evidence for this product in each industry and task.
Documented feature
“An enterprise private LLM deployment runs frontier-class language models inside your VPC, on-premises, or in a customer-controlled Azure tenant. The defining property is that prompts and outputs do not leave the customer…”
Read product documentation
An enterprise private LLM deployment runs frontier-class language models inside your VPC, on-premises, or in a customer-controlled Azure tenant. The defining property is that prompts and outputs do not leave the customer…
Read source · logosguard.com ↗
Pricing
- Free plan$0
- EnterpriseCustom
- Enterprise Custom tailored to your team
Free trial on paid plans
Prices as published by LogosGuard, checked Nov 2026.
Security and compliance
As reported by LogosGuard. Ask for audit reports before you buy.
- HIPAACompliant
- TLS 1.2+ for extension-backend communication
- Signed release builds
- Local processing on device for consumer extension
- Role-based access control for audit logs
- Configurable log retention per contract
- HTTPS for external connections
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