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.
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.
What kind of customer support does Liminal offer?
Liminal offers dedicated customer support ready to assist at every step. This ensures organizations can handle any issues or queries promptly and effectively, minimizing downtime and maintaining productivity.
What can I expect from Liminal's tailored onboarding program?
Liminal's tailored onboarding program offers help with use case identification and organizational ramp planning. It is designed to ensure a smooth transition and implementation of Liminal within an organization, providing all the necessary tools and guidance for successful deployment.
How can Liminal help with risk management in AI applications?
Liminal contributes to risk management in AI applications by offering real-time identification of sensitive data including PHI, PII, PCI, and intellectual property. Pre-set policies can then be applied to detected data, which can prevent potential misuses or breaches, thereby mitigating risks associated with handling sensitive data.
How does Liminal ensure PCI Security?
Liminal ensures PCI Security by identifying any Payment Card Information (PCI) in real-time within AI interactions and applying pre-set policies to detected data. This prevents potential data infringement and unauthorized access to sensitive payment information.
What features does Liminal have for PHI Security?
For PHI Security, Liminal detects Personal Health Information (PHI) in real-time in prompts. Policies are applied to detected PHI to safeguard the sensitive health information from misuse or exposure.
How does Liminal protect intellectual property within AI interactions?
Liminal protects intellectual property in AI interactions by identifying any potential IP in real-time and applying predetermined policies. This prevents inadvertent exposure or misuse of valuable IP assets within AI interactions.
Why is Liminal described as an easy-to-deploy solution for generative AI security?
Liminal is described as easy-to-deploy due to its built-in IDP Integration and pre-configured security controls. These features allow for a quick, hassle-free setup, making it easier for organizations to start using Liminal for securing their generative AI applications.
How does Liminal ensure the careful handling of sensitive data in AI applications?
Liminal ensures the careful handling of sensitive data in AI applications by identifying sensitive data like PHI, PII, PCI, and IP in real-time and subsequently applying pre-set policies. Users also have granular security controls to decide what data types can be shared and how that data should be treated within AI interactions.
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