Liminal
Enterprise platform for secure multi-model generative AI deployment & governance

Liminal
Enterprise platform for secure multi-model generative AI deployment & governance
Liminal Description
Liminal is an enterprise platform that enables organizations to securely deploy and manage generative AI across their operations. The platform provides unlimited access to multiple AI models from providers including OpenAI, Anthropic, Perplexity, and Google while maintaining data protection and governance controls. The platform offers centralized AI governance through granular security capabilities, customizable access management, and real-time observability. Organizations can leverage internal data in AI interactions by accessing their complete knowledge base through a unified platform while maintaining security controls regardless of data location. Liminal includes four main components: Spaces for multi-model AI access, Enterprise Search for internal data integration, Console for centralized governance and administration, and Insights for measuring business impact and adoption metrics. The platform provides sensitive data protection, comprehensive compliance capabilities, and detailed monitoring of all AI interactions. The solution addresses vendor lock-in by supporting multiple AI model providers without token limitations. It includes features for security teams such as complete data security controls, granular administration, and observability across all AI deployments. Liminal maintains compliance certifications including HIPAA, SOC 2 Type 1, and SOC 2 Type 2, with ISO 27001, HITRUST, and NIST certifications in progress. The platform is designed for regulated organizations requiring enterprise-grade security for generative AI deployments.
Liminal FAQ
Common questions about Liminal including features, pricing, alternatives, and user reviews.
Liminal is Enterprise platform for secure multi-model generative AI deployment & governance developed by Liminal AI. It is a Cloud Security solution designed to help security teams with Observability, Policy.