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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 Apheris?

Apheris serves as a platform that enables organizations to securely and privately collaborate on distributed datasets while remaining compliant with regulatory frameworks. By utilizing the Apheris Compute Gateway, users can conduct machine learning and analytical tasks directly where the data resides, ensuring that it is never exposed or relocated, which helps maintain its intrinsic value. This innovative approach addresses common issues associated with data being confined due to geographical limitations, regulatory constraints, or internal organizational policies, as well as the difficulties that arise from transferring sensitive or costly data. Unlike alternative methods such as synthetic data generation, encryption, or data clean rooms—which can compromise result accuracy, introduce security risks, or lack the capacity to scale effectively—Apheris adopts a federated model. This enables the creation of analytical models from extensive datasets without necessitating data movement, backed by a comprehensive framework of governance, security, and privacy that guarantees adherence to applicable regulations from the very beginning. As a result, Apheris not only fosters enhanced collaboration but also plays a crucial role in protecting essential data assets, making it an invaluable resource for organizations navigating the complexities of data utilization. Furthermore, this capability positions Apheris as a forward-thinking solution in an increasingly data-driven world.

Media

Media

Integrations Supported

Python

Integrations Supported

Python

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
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

Apheris

Company Location

Germany

Company Website

www.apheris.com

Categories and Features

Data Privacy Management

Access Control
CCPA Compliance
Consent Management
Data Mapping
GDPR Compliance
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification

Data Security

Alerts / Notifications
Antivirus/Malware Detection
At-Risk Analysis
Audits
Data Center Security
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Mobile Data Security
Monitor Abnormalities
Policy Management
Secure Data Transport
Sensitive Data Compliance

Encryption

Central Policy Enforcement
Drag & Drop UI
Email Encryption
Encryption Key Management
Endpoint Encryption
File Compression
File Encryption
Full Disk Encryption
Public Key Cryptography
Tokenization / Data Masking

Categories and Features

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