Regulated enterprises face significant challenges in safely integrating and governing generative AI across diverse workflows due to concerns about data security, compliance, and privacy. Existing security solutions often lack the granular access controls and real-time observability required to mitigate risks associated with AI adoption in sensitive environments.

Liminal offers a security platform designed to enable regulated organizations to securely leverage generative AI across all workflows, including web applications and desktop environments. The platform provides complete data security, granular access controls, and real-time observability, allowing organizations to adopt AI tools without compromising compliance or privacy. Liminal's architecture is designed to deliver both robust security and a user experience that integrates seamlessly into existing workflows. By offering a single-tenant architecture and comprehensive governance features, Liminal empowers security teams to effectively manage AI risks while providing end-users with the productivity benefits of generative AI.

Granular access controls to manage user permissions and data access within AI workflows.

Real-time observability and monitoring of AI usage to detect and prevent security breaches.

Single-tenant architecture for enhanced data isolation and security.

Seamless integration with existing web applications and desktop environments.

Context-aware security policies that adapt to different use cases and risk profiles.

Support for various AI models, providing flexibility and avoiding vendor lock-in.

Compliance certifications, including HIPAA and SOC 2, to meet regulatory requirements.

Liminal's primary customers are regulated enterprises in industries such as banking, biotech, healthcare, and insurance that require secure and compliant AI solutions.