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What is Protegrity?

Our platform empowers businesses to harness data for advanced analytics, machine learning, and AI, all while ensuring that customers, employees, and intellectual property remain secure. The Protegrity Data Protection Platform goes beyond mere data protection; it also identifies and classifies data while safeguarding it. To effectively protect data, one must first be aware of its existence. The platform initiates this process by categorizing data, enabling users to classify the types most frequently found in the public domain. After these classifications are set, machine learning algorithms come into play to locate the relevant data types. By integrating classification and discovery, the platform effectively pinpoints the data that requires protection. It secures data across various operational systems critical to business functions and offers privacy solutions such as tokenization, encryption, and other privacy-enhancing methods. Furthermore, the platform ensures ongoing compliance with regulations, making it an invaluable asset for organizations aiming to maintain data integrity and security.

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)
Apache Hive
Apache Spark
Cloudera
Microsoft Azure
Microsoft Power BI
Tableau
Amazon CloudWatch
Amazon EC2
Amazon Redshift
Azure Blob Storage
Azure Functions
Azure Synapse Analytics
Dremio
Google Cloud Dataflow
Microsoft Entra ID
Oracle Autonomous Data Warehouse
Presto
Teradata VantageCloud

Integrations Supported

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

API Availability

API Availability

Has API

Pricing Information

Subscription
Free Trial Offered?

Pricing Information

Contact PHEMI to learn about our value-based pricing.

Supported Platforms

SaaS
Windows
Mac
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Protegrity

Date Founded

1996

Company Location

United States

Company Website

www.protegrity.com

Company Facts

Organization Name

PHEMI Systems

Date Founded

2013

Company Location

Canada

Company Website

www.phemi.com

Categories and Features

Big Data

Collaboration
Data Warehousing
High Volume Processing

Compliance

Audit Management
FDA Compliance
HIPAA Compliance
ISO Compliance
Risk Management

Data Classification

Not specified

Data Discovery

Data Classification
Sensitive Data Identification

Data Governance

Access Control
Data Discovery
Policy Management
Roles Management

Data Management

Data Security
Information Governance

Data Masking

Not specified

Data Privacy Management

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

Data Security

Audits
Data Classification
Data Discovery
Data Masking
Encryption
Identity / Access Management
Logging / Reporting
Policy Management
Sensitive Data Compliance

Data Tokenization

Not specified

Encryption

Central Policy Enforcement
Encryption Key Management
Tokenization / Data Masking

GDPR Compliance

Access Control
Policy Management
Sensitive Data Identification

HIPAA Compliance

Access Control / Permissions
Data Security
For Healthcare

PCI Compliance

Access Control
Compliance Reporting
Log Management
Policy Management

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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