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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.

What is Borneo?

Borneo operates as a cutting-edge solution for real-time observability in data security and privacy, designed to provide organizations with essential tools for identifying, addressing, and managing data-related risks while adhering to privacy regulations and compliance standards. The platform enables users to accurately locate health, financial, and personally identifiable information (PII) across a variety of unstructured data sources, SaaS applications, and cloud environments. With the help of an advanced risk correlation engine, Borneo identifies data that violates security protocols or privacy regulations, allowing for quick responses to potential breaches. Additionally, it offers automated remediation features, including data masking, changes to access permissions, and encryption, while continuously tracking data modifications to ensure compliance and reduce regulatory risks. Created by former security professionals from renowned companies such as Uber, Facebook, and Yahoo, Borneo is built to effectively manage large-scale data environments. It features a strong connector framework for easy integration across diverse data infrastructures and supports flexible, modular deployment strategies, ensuring that data remains securely housed within the user’s cloud settings. Ultimately, Borneo equips organizations to adopt a proactive approach to managing data security and privacy, fostering a culture of vigilance and responsiveness in an ever-evolving digital landscape. By leveraging this platform, businesses can not only safeguard their sensitive information but also build trust with their stakeholders through robust privacy practices.

Media

Media

Integrations Supported

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

Integrations Supported

Amazon S3
Apache Cassandra
Apache Kafka
Confluent
Databricks
MariaDB
MongoDB
MySQL
Presto
Redis
SQL
Snowflake

API Availability

Has API

API Availability

Pricing Information

Contact PHEMI to learn about our value-based pricing.

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

PHEMI Systems

Date Founded

2013

Company Location

Canada

Company Website

www.phemi.com

Company Facts

Organization Name

Borneo

Date Founded

2019

Company Location

United States

Company Website

www.borneo.io

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

Categories and Features

Data Security

Not specified

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