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What is Roseman Labs?

Roseman Labs enables the encryption and integration of various data sets while safeguarding privacy and commercial confidentiality. This capability empowers you to merge data from different sources, conduct analyses, and extract valuable insights necessary for process optimization. By harnessing the potential of your data, you can unlock new opportunities for growth. With Roseman Labs, the ease of Python enhances the encryption process, making it accessible. Safeguarding sensitive data allows for insightful analysis while ensuring compliance with privacy laws like GDPR. Enhanced compliance not only protects sensitive commercial and personal information but also facilitates the generation of meaningful insights. The cutting-edge encryption methods provided ensure robust data privacy. Roseman Labs allows for the seamless linking of data sets from various contributors, enabling the identification of overlapping records across multiple sources. This integration fosters the emergence of new insights and patterns that would otherwise remain hidden in standalone data sets. Ultimately, this innovative approach transforms data analytics into a more secure and effective process.

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.

Media

Media

Integrations Supported

Python

Integrations Supported

AWS CloudTrail
AWS Glue
Amazon Athena
Amazon Aurora
Amazon CloudWatch
Amazon Elastic Container Registry (ECR)
Amazon RDS
Apache Hive
Apache Spark
Azure Blob Storage
Azure Databricks
Azure HDInsight
Azure Synapse Analytics
Dremio
Google Cloud Dataflow
HashiCorp Vault
Okta
Starburst Enterprise
Teradata VantageCloud

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Subscription
Free Trial Offered?

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS
Windows
Mac
Linux

Customer Service / Support

Standard 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

Roseman Labs

Date Founded

2020

Company Location

Netherlands

Company Website

rosemanlabs.com/en/product

Company Facts

Organization Name

Protegrity

Date Founded

1996

Company Location

United States

Company Website

www.protegrity.com

Categories and Features

Data Collaboration

Not specified

Data Engineering

Not specified

Data Security

Not specified

Encryption

Not specified

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

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