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Description
Privacy engineering is a growing discipline that overlaps with various fields, including data engineering, information security, software development, and privacy law. The primary objective of this field is to ensure that personal data is managed and handled in a manner that complies with legal standards while also safeguarding the privacy of individuals to the greatest extent possible. While security engineering serves as both a foundational element of privacy engineering and a standalone area of expertise, its main focus is on ensuring the secure management and storage of sensitive data broadly. Organizations that handle sensitive or personal data, or both, must prioritize privacy and security engineering practices. This necessity becomes even more critical for those engaged in their own data engineering or data science activities, as the complexities of data management grow. Ultimately, integrating these principles is vital for building trust and maintaining compliance in today's data-driven landscape.
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.
API Access
Has API
No
API Access
Has API
Yes
Integrations
ChatGPT
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
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
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)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Kodex
Website
heykodex.com
Vendor Details
Company Name
Limina AI
Country
Canada
Website
www.getlimina.ai/
Product Features
Data Privacy Management
Access Control
No
CCPA Compliance
No
Consent Management
No
Data Mapping
No
GDPR Compliance
No
Incident Management
No
PIA / DPIA
No
Policy Management
No
Risk Management
No
Sensitive Data Identification
No
