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Average Ratings 0 Ratings
Description
To protect sensitive information, including personally identifiable information (PII), organizations must implement techniques such as pseudonymization and anonymization for secondary purposes like comparative effectiveness studies, policy evaluations, and research in life sciences. This process is essential as businesses amass vast quantities of data to detect patterns, understand customer behavior, and foster innovation. Compliance with regulations like HIPAA and GDPR mandates the de-identification of data; however, the difficulty lies in the fact that many de-identification tools prioritize the removal of personal identifiers, often complicating subsequent data usage. By transforming PII into forms that cannot be traced back to individuals, employing data anonymization and pseudonymization strategies becomes crucial for maintaining privacy while enabling robust analysis. Effectively utilizing these methods allows for the examination of extensive datasets without infringing on privacy laws, ensuring that insights can be gathered responsibly. Selecting appropriate de-identification techniques and privacy models from a wide range of data security and statistical practices is key to achieving effective data usage.
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.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Fasoo
Country
United States
Website
en.fasoo.com/products/analyticdid/
Vendor Details
Company Name
GNUBILA
Country
France
Website
gnubila.fr/
Product Features
Product Features
Data Security
Alerts / Notifications
No
Antivirus/Malware Detection
No
At-Risk Analysis
No
Audits
No
Data Center Security
No
Data Classification
No
Data Discovery
No
Data Loss Prevention
No
Data Masking
No
Data-Centric Security
No
Database Security
No
Encryption
No
Identity / Access Management
No
Logging / Reporting
No
Mobile Data Security
No
Monitor Abnormalities
No
Policy Management
No
Secure Data Transport
No
Sensitive Data Compliance
No