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AI security

Liminal ✓

Secure generative AI without compromising data

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Generative AI AI Security Data Security
More categories (4)
pII Protection AI Integration AI Governance AI security
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Verdict

A quick read before you dig into the full page.

Best if
Secure generative AI without compromising data
Skip if
Complex setup
Pick this when
Works in any application

Considering AI Security Gateway instead? Compare side by side

Overview

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.

Liminal website

Access & connections

Where you can use Liminal, and what it plugs into.

Platforms

Web

Integrations

Notion Slack

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • Tabular

Output

  • Text

Supported features

  • Cybersecurity

Pros & cons

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
Show 11 more
  • Fast deployment
  • Built-in IDP Integration
  • Pre-configured security controls
  • Dedicated customer support
  • Tailored onboarding program
  • Protects PII, PCI, PHI
  • Intellectual property protection
  • Internal and external applications
  • User defined data treatment
  • Protection during direct engagement
  • Ease of use prioritized

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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Releases 1

Initial release June 27, 2024 Current
Initial release of Liminal.

FAQ 12

What is Liminal?
Liminal is a platform that provides security solutions specifically tailored for generative AI applications in enterprises. It aims to harness the productivity gains of AI while maintaining stringent data security.
How does Liminal secure generative AI applications?
Liminal secures generative AI applications by offering real-time identification of sensitive data in prompts and applying pre-set policies. Further, it offers access management, allowing governance of model usage down to individual users and granular security controls for customization of data treatment within AI interactions.
What kinds of sensitive data can Liminal identify in real-time?
Liminal can identify sensitive data such as Personal Health Information (PHI), Personally Identifiable Information (PII), Payment Card Information (PCI), and intellectual property in real-time.
Can Liminal be used across any AI model?
Yes, Liminal is versatile and operable across any AI model. This gives organizations the flexibility to use it across a range of AI applications without any constraints.
Is Liminal applicable within any software application?
Yes, Liminal is applicable within any software application, including those developed internally and externally-facing ones. It is a versatile tool that integrates seamlessly into any application for enhanced data security and governance.
Which specific AI models does Liminal cater to?
Liminal caters to various AI models including GPT-4, Gemini, Claude, Azure OpenAI, and others. This broad range implies adaptability and versatility, eliminating the need for multiple security solutions.
Does Liminal work with Microsoft Office 365 Copilots, Slack AI, Notion, and other off-the-shelf applications?
Yes, Liminal works with Microsoft Office 365 Copilots, Slack AI, Notion, and other off-the-shelf applications. It can safeguard the generative AI-enabled components within them, ensuring the secure usage of these common productivity tools.
How can users control their data with Liminal?
Users can control their data with Liminal by deciding upon the data types to be shared and how it should be treated within the AI interactions. Access management options also allow organizations to govern model usage at different layers, including the individual user level.
What are the granular security controls offered by Liminal?
Liminal's granular security controls allow organizations to specify what data types can be shared and how that data should be treated in generative AI interactions. These controls provide a high level of customization, allowing you to set up data handling rules according to your organization's specific needs and risk profile.
How does Liminal enable governance of model usage down to individual users?
Liminal enables governance of model usage down to individual users through access management. This means organizations can control which users can leverage which models and can be implemented at the organization, team, and individual level. This provides precise control, reducing potential misuse or overuse of AI models.
What makes Liminal efficient and easy to use?
Liminal is efficient and easy to use as it can be deployed quickly, thanks to built-in IDP Integration and pre-configured security controls. Additionally, it comes with dedicated customer support and a tailored onboarding program, ensuring organizations have the guidance needed for effective implementation and use.
What is the IDP Integration feature offered by Liminal?
Liminal’s IDP integration feature enables the platform to connect and communicate with Identity Provider services. This built-in feature makes it quicker and easier to deploy Liminal within an organization's existing infrastructure, removing potential barriers and technical difficulties.
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