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What is TripleBlind?

At TripleBlind,™ we focus on providing digital privacy as a service, offering an extensive array of tools that enable organizations to securely share and handle highly sensitive data and algorithms within a rigorously encrypted framework, achieving unmatched levels of privacy and security. The transfer of raw data carries various risks for all parties involved, which complicates the fragile balance between protecting privacy and monetizing valuable data and algorithms. Trust in compliance with Legal Terms is crucial for the effective exchange and utilization of data, as the data economy frequently requires substantial investments in IT and security infrastructures, making it a financially burdensome pursuit. Moreover, unsecured residual data can linger after transactions, exposing it to potential breaches and vulnerabilities. The task of consolidating data from diverse sources can be overwhelming due to its complexity and cost. While de-identifying data is widely practiced, it often results in a reduction of the data's overall value and accuracy for training applications. Additionally, decryption risks upsetting the financial data ecosystem; however, with TripleBlind’s pioneering solutions, organizations can uncover new paths for liquidity and collaboration. We invite you to explore the impactful services we are already providing to clients with similar needs and ambitions. By collaborating with us, you will find that navigating the challenges of data privacy can be done more efficiently and effectively than ever before, allowing for greater opportunities in the data-driven landscape.

What is PHEMI Health DataLab?

In contrast to many conventional data management systems, PHEMI Health DataLab is designed with Privacy-by-Design principles integral to its foundation, rather than as an additional feature. This foundational approach offers significant benefits, including: It allows analysts to engage with data while adhering to strict privacy standards. It incorporates a vast and adaptable library of de-identification techniques that can conceal, mask, truncate, group, and anonymize data effectively. It facilitates the creation of both dataset-specific and system-wide pseudonyms, enabling the linking and sharing of information without the risk of data leaks. It gathers audit logs that detail not only modifications made to the PHEMI system but also patterns of data access. It automatically produces de-identification reports that are accessible to both humans and machines, ensuring compliance with enterprise governance risk management. Instead of having individual policies for each data access point, PHEMI provides the benefit of a unified policy that governs all access methods, including Spark, ODBC, REST, exports, and beyond, streamlining data governance in a comprehensive manner. This integrated approach not only enhances privacy protection but also fosters a culture of trust and accountability within the organization.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Microsoft Azure
Alibaba Cloud
Google Cloud Platform

Integrations Supported

Amazon Web Services (AWS)
Microsoft Azure
Apache Hive
Apache Ranger
Apache Spark
Cloudera
Hadoop
Microsoft Power BI
Tableau

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Contact PHEMI to learn about our value-based pricing.

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Online Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

TripleBlind

Date Founded

2019

Company Location

United States

Company Website

tripleblind.ai/

Company Facts

Organization Name

PHEMI Systems

Date Founded

2013

Company Location

Canada

Company Website

www.phemi.com

Categories and Features

Encryption

Not specified

Categories and Features

Big Data

Data Warehousing
High Volume Processing
Predictive Analytics

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Policy Management
Process Management
Roles Management
Storage Management

Data Lineage

Not specified

Data Management

Data Analysis
Data Integration
Data Security
Information Governance

Data Masking

Not specified

Data Privacy Management

Access Control
CCPA Compliance
Consent Management
Data Mapping
GDPR Compliance
Policy Management
Risk Management
Sensitive Data Identification

Data Security

Data Classification
Data Discovery
Data Masking
Data-Centric Security
Encryption
Identity / Access Management
Policy Management
Sensitive Data Compliance

Hybrid Cloud Storage

Not specified

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