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Description
Challenging the conventional data value chain, we offer risk-aware solutions for de-identifying sensitive information, enabling further processing. Whether you prefer on-premises management for complete control or a secure externalized service, FedEHR serves as your all-in-one solution compliant with GDPR and HIPAA regulations. As our world evolves, so does the nature of our data, with an unprecedented surge of IoT devices generating vast amounts of information and reflecting our increasingly interconnected and ubiquitous society. This shift inevitably raises the pressing question of our "quantified self." However, what are the implications and potential risks of data sharing? Who possesses access to this information, and for which purposes? What is the true worth of data, and who holds ownership rights? While this abundant personal and sensitive information presents incredible opportunities for self-discovery, it simultaneously poses significant challenges for societies striving to develop advanced governance frameworks that can responsibly manage this wealth of data. As we navigate these complexities, the importance of transparency and accountability in data management cannot be overstated.
Description
Roseman Labs allows you to encrypt and link multiple data sets, while protecting the privacy and commercial sensitivity. This allows you combine data sets from multiple parties, analyze them and get the insights that you need to optimize processes. Unlock the potential of your data. Roseman Labs puts the power of encryption at your fingertips with Python's simplicity. Encrypting sensitive information allows you to analyze the data while protecting privacy, commercial sensitivity and adhering GDPR regulations. With enhanced GDPR compliance, you can generate insights from sensitive commercial or personal information. Secure data privacy using the latest encryption. Roseman Labs lets you link data sets from different parties. By analyzing the combined information, you can discover which records are present in multiple data sets. This allows for new patterns to emerge.
API Access
Has API
API Access
Has API
Integrations
Python
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
GNUBILA
Country
France
Website
gnubila.fr/
Vendor Details
Company Name
Roseman Labs
Founded
2020
Country
Netherlands
Website
rosemanlabs.com/en/product
Product Features
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
Product 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