Liminal

Secure generative AI without compromising data

AI security· 4.5·0 saves·Freemium

Quick facts

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AI security
Pricing
Freemium
Editor rating
4.5 / 5
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Liminal screenshot 1

About Liminal

Liminal provides security solutions specifically tailored for generative AI applications in enterprises. It aims to offer a balance between harnessing the productivity gains of AI and maintaining stringent data security, thereby protecting critical data while unlocking the benefits of AI. The platform offers real-time identification of sensitive data such as PHI, PII, PCI and intellectual property in prompts, alongside the application of pre-set policies to detected data. This tool is versatile, operable across any AI model, and is applicable within any software application, both those developed internally and externally-facing ones. Moreover, Liminal caters to AI models such as GPT-4, Gemini, Claude, Azure OpenAI and others, alongside supporting AI-enabled components within Microsoft Office 365 Copilots, Slack AI, Notion, amongst other off-the-shelf applications.Users are afforded extensive control over their data. They can decide upon the data types to be shared and how it should be treated within the AI interactions. Granular security controls offer further customization. Access management enables governance of model usage down to individual users. Efficiency and ease of use are prioritized. Liminal can be deployed fast, with built-in IDP Integration and pre-configured security controls. The platform also comes with dedicated customer support and a tailored onboarding program. Supported featuresCybersecurity

Pros

  • Works in any application
  • Detects sensitive data real-time
  • Applies pre-set data policies
  • Supports GPT-4, Gemini, Claude
  • Handles Office 365 Copilots
  • Supports off-the-shelf applications
  • Customizable granular security controls
  • Access management feature
  • Fast deployment
  • Built-in IDP Integration
  • Pre-configured security controls
  • Dedicated customer support

Cons

  • Complex setup
  • Needs granular control tuning
  • Potential over-detection of sensitive data
  • Strict policy application
  • Requires thorough user training
  • Depends heavily on user governance
  • User-dependent access management

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