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What is Limina?

Limina is a context-aware data de-identification platform for detecting and transforming sensitive information across structured and unstructured enterprise data. It is designed to preserve useful context while removing or transforming information that could create privacy, security, or regulatory risks. Limina identifies PII, PHI, and PCI across more than 50 entity types, including names, Social Security numbers, credit cards, medical conditions, medications, passport numbers, and international variants. Instead of depending solely on predefined patterns, the platform analyzes contextual relationships to identify sensitive information that may span sentences, conversational turns, or unconventional formats. This approach is designed to handle challenging information such as ASR errors, OCR mistakes, handwritten forms, conversational disfluencies, multilingual content, and code-switching. Limina supports 52 languages and has been deployed across markets including the United States, Canada, United Kingdom, Germany, Japan, Hong Kong, Australia, and Switzerland. Organizations can deploy the software as a container inside their own VPC or on-premises infrastructure so data remains within their controlled environment during processing without third-party access or outbound calls. Real-time identification capabilities detect sensitive information as it appears, while data linking connects related entities and helps transform unstructured information into structured data for downstream use. Limina integrates with platforms and infrastructure including AWS, Azure, Snowflake, and NVIDIA NeMo, allowing organizations to incorporate de-identification into existing data workflows.

What is IBM InfoSphere Optim Data Privacy?

IBM InfoSphere® Optim™ Data Privacy provides an extensive range of tools aimed at effectively concealing sensitive data in non-production environments such as development, testing, quality assurance, and training. This all-in-one solution utilizes a variety of transformation techniques to substitute sensitive information with realistic, functional masked versions, thereby preserving the confidentiality of essential data. Among the masking methods employed are the use of substrings, arithmetic calculations, generation of random or sequential numbers, date manipulation, and the concatenation of data elements. Its sophisticated masking capabilities ensure that the formats remain contextually relevant and closely mimic the original data. Users are empowered to implement a wide selection of masking strategies as needed to protect personally identifiable information and sensitive corporate data across applications, databases, and reports. By leveraging these data masking functionalities, organizations can significantly reduce the risk of data exploitation by obscuring, privatizing, and safeguarding personal information shared in non-production settings, thus improving data security and regulatory compliance. Furthermore, this solution not only addresses privacy concerns but also enables businesses to uphold the reliability of their operational workflows. Through these measures, companies can navigate the complexities of data privacy with greater ease.

Media

Media

Integrations Supported

ChatGPT

Integrations Supported

Amdocs Customer Experience Suite
Hadoop
IBM Cloud
IBM Db2
IBM InfoSphere Optim
IBM Informix
JD Edwards EnterpriseOne
Oracle PeopleSoft
Oracle Siebel CRM
SQL Server

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem

Supported Platforms

Windows
Linux

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Limina AI

Company Location

Canada

Company Website

www.getlimina.ai/

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/il-en/products/infosphere-optim-data-privacy

Categories and Features

Categories and Features

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