Liminal: Secure Generative AI for Enterprises

Liminal provides cutting-edge security solutions designed specifically for the enterprise adoption of generative AI. It seamlessly balances the productivity benefits of AI with robust data protection, ensuring critical information remains secure while unlocking the full potential of AI technologies.

Features

• Real-time Sensitive Data Identification: Identifies Protected Health Information (PHI), Personally Identifiable Information (PII), Payment Card Industry Data (PCI), and intellectual property within AI prompts.
• Policy Enforcement: Applies pre-set policies to detected sensitive data, ensuring compliance and preventing data breaches.
• Model & Application Agnosticism: Works with any AI model (GPT-4, Gemini, Claude, Azure OpenAI, etc.) and integrates with various software applications, including internally developed and externally facing ones, as well as AI-enabled components within Microsoft Office 365 Copilots, Slack AI, and Notion.
• Granular User Control: Provides extensive control over data sharing and handling within AI interactions, allowing users to specify data types and treatment preferences.
• Fine-grained Access Management: Enables governance of model usage down to the individual user level.
• Rapid Deployment: Features built-in Identity Provider (IDP) integration and pre-configured security controls for fast implementation.
• Dedicated Support & Onboarding: Includes comprehensive customer support and a tailored onboarding program.

Benefits

• Enhanced Data Security: Protects sensitive data from unauthorized access and misuse within AI applications.
• Increased Productivity: Enables the full utilization of generative AI without compromising security.
• Simplified Compliance: Facilitates adherence to data privacy regulations and internal security policies.
• Improved Efficiency: Streamlines the integration and management of AI security measures.
• Flexible Control: Offers granular control over data and access, tailoring security to specific needs.

Use Cases

• Securing sensitive data used in internal AI-powered applications.
• Protecting intellectual property during AI-assisted development processes.
• Ensuring compliance with data privacy regulations when using external AI models.

Liminal empowers enterprises to confidently leverage the power of generative AI while maintaining the highest levels of data security.