Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Limina is a data de-identification platform that uses context-aware detection to identify and transform sensitive information without unnecessarily removing the information that makes datasets useful. It supports PII, PHI, and PCI detection across more than 50 entity types, including names, Social Security numbers, payment card information, medical conditions, medications, passport numbers, and international variations. Rather than relying exclusively on patterns and formatting rules, Limina analyzes surrounding context to identify sensitive entities that may appear across sentences or conversational turns. The platform is built to work with both structured and unstructured information, including difficult datasets containing ASR errors, OCR mistakes, handwritten forms, and conversational disfluencies. Limina supports 52 languages and multilingual or code-switching data, with deployments referenced across the United States, Canada, United Kingdom, Germany, Japan, Hong Kong, Australia, and Switzerland. Organizations can deploy Limina as a container inside their own VPC or on-premises environment, allowing data to remain within infrastructure they control without third-party access or outbound processing calls. Its data-linking capabilities connect related information while converting unstructured content into structured intelligence that can be used in downstream workflows. Limina integrates with existing technology environments including AWS, Azure, Snowflake, and NVIDIA NeMo and is designed to operate at enterprise scale. The platform is intended for healthcare, pharmaceutical, financial services, insurance, technology, and other regulated organizations that need to balance privacy and compliance requirements with continued use of sensitive datasets.
Description
As enterprise data explodes and is scattered across multiple systems, the oversight of privacy, data security and governance has become a very difficult task. Businesses are exposed to significant risks, including data breaches, privacy suits, and penalties. It takes months to find data privacy risks within an organization. A team of data engineers is involved in the effort. Data breaches and privacy legislation are forcing companies to better understand who has access to data and how it is used. Enterprise data is complex. Even if a team works for months to isolate data privacy risks, they may not be able to quickly find ways to reduce them.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Amazon Redshift
No
Amazon S3
No
ChatGPT
Yes
Databricks
No
Google Cloud BigQuery
No
Microsoft Azure
No
Salesforce
No
Snowflake
No
Integrations
Amazon Redshift
Yes
Amazon S3
Yes
ChatGPT
No
Databricks
Yes
Google Cloud BigQuery
Yes
Microsoft Azure
Yes
Salesforce
Yes
Snowflake
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
Usage based
charged per API call
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
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)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Limina AI
Country
Canada
Website
www.getlimina.ai/
Vendor Details
Company Name
Protecto
Founded
2021
Country
United States
Website
www.protecto.ai/
Product Features
Product Features
Data Discovery
Contextual Search
Yes
Data Classification
Yes
Data Matching
No
False Positives Reduction
Yes
Self Service Data Preparation
No
Sensitive Data Identification
Yes
Visual Analytics
No
Data Security
Alerts / Notifications
No
Antivirus/Malware Detection
No
At-Risk Analysis
No
Audits
Yes
Data Center Security
No
Data Classification
Yes
Data Discovery
Yes
Data Loss Prevention
Yes
Data Masking
Yes
Data-Centric Security
Yes
Database Security
No
Encryption
Yes
Identity / Access Management
Yes
Logging / Reporting
Yes
Mobile Data Security
No
Monitor Abnormalities
No
Policy Management
Yes
Secure Data Transport
No
Sensitive Data Compliance
Yes