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features
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support

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Description

Your IT department can implement advanced data masking techniques to restrict access to sensitive information, utilizing adaptable masking rules that correspond to the authentication levels of users. By incorporating mechanisms for blocking, auditing, and notifying users, IT staff, and external teams who interact with confidential data, the organization can maintain adherence to its security protocols as well as comply with relevant industry and legal privacy standards. Additionally, you can tailor data-masking strategies to meet varying regulatory or business needs, fostering a secure environment for personal and sensitive information. This approach not only safeguards data but also facilitates offshoring, outsourcing, and cloud-based projects. Furthermore, large datasets can be secured by applying dynamic masking to sensitive information within Hadoop environments, enhancing overall data protection. Such measures bolster the integrity of the organization's data security framework.

Description

Liminal gives regulated organizations a single governed environment for AI. Rather than securing models an organization has already deployed, Liminal supplies the access itself, so protection is applied before anything reaches a provider. Employees work with leading models from Anthropic, OpenAI, Google and others through one interface, with policy-based routing and no per-provider contracts. Adding a new model becomes a policy decision rather than an integration project, and teams are never stuck waiting for procurement to catch up with what the market released. Sensitive terms are identified within each prompt and masked, redacted, flagged or blocked according to rules defined by data category rather than by department. Masked values are restored in the response, which keeps output usable while regulated information stays inside the organization. Employees never have to sanitize inputs by hand, which is what makes the governed path the one they actually choose. Administrators see who used which model, what rules were applied and where violations occurred. That record is generated at the time of the interaction, so audit requests are answered from existing evidence instead of reconstruction after the fact. Activity can be fed into existing security tooling and reviewed alongside other events rather than in isolation. The platform connects to internal systems through MCP, so employees bring organizational context into their work without moving data into tools nobody is watching. Access follows permissions that already exist. Deployments run on single-tenant infrastructure with SSO and role-based permissions, serving banking and credit unions, insurance, healthcare, education, state and local government, and life sciences.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS AI Services No 
Amazon Web Services (AWS) No 
Anthropic No 
Confluence No 
Gmail No 
Google No 
Google Drive No 
Hadoop Yes 
IBM QRadar SIEM No 
Microsoft Entra ID No 
Microsoft OneDrive No 
Microsoft Outlook No 
Microsoft Sentinel No 
Microsoft SharePoint No 
OpenAI No 
Perplexity No 
Ping Identity No 
Slack No 
Snowflake No 
Sumo Logic No 

Integrations

AWS AI Services Yes 
Amazon Web Services (AWS) Yes 
Anthropic Yes 
Confluence Yes 
Gmail Yes 
Google Yes 
Google Drive Yes 
Hadoop No 
IBM QRadar SIEM Yes 
Microsoft Entra ID Yes 
Microsoft OneDrive Yes 
Microsoft Outlook Yes 
Microsoft Sentinel Yes 
Microsoft SharePoint Yes 
OpenAI Yes 
Perplexity Yes 
Ping Identity Yes 
Slack Yes 
Snowflake Yes 
Sumo Logic Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Per-user subscription with unlimited access to every supported model. Typically 40 to 60 percent below ChatGPT Enterprise, Claude Teams, or Microsoft Copilot subscriptions. Pricing available on request.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows No 
Mac No 
Linux No 
Chromebook Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Informatica

Country

United States

Website

www.informatica.com/products/data-security/data-masking/dynamic-data-masking.html

Vendor Details

Company Name

Liminal

Country

United States

Website

www.liminal.ai/

Product Features

Artificial Intelligence

Chatbot Yes 
For Healthcare Yes 
For Sales Yes 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language Yes 
Natural Language Processing Yes 
Predictive Analytics No 
Process/Workflow Automation Yes 
Rules-Based Automation Yes 
Virtual Personal Assistant (VPA) No 

Alternatives

Alternatives

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