Seudo provides an advanced platform for data pseudonymization, enabling secure and compliant data sharing. Utilizing AI and serverless infrastructure, Seudo transforms sensitive information into anonymized datasets, safeguarding privacy and ensuring regulatory compliance.
Seudo provides an advanced platform for data pseudonymization, enabling secure and compliant data sharing. Utilizing AI and serverless infrastructure, Seudo transforms sensitive information into anonymized datasets, safeguarding privacy and ensuring regulatory compliance.
Seudo is an innovative data pseudonymization tool that leverages cutting-edge artificial intelligence and serverless infrastructure to anonymize sensitive datasets. By transforming personal data into pseudonymized datasets, Seudo allows for secure sharing and processing without compromising privacy. This makes it ideal for organizations that handle sensitive information, ensuring compliance with data protection regulations such as GDPR and HIPAA. The web-based platform offers an intuitive interface for easy integration into existing workflows, enhancing data security and reducing risks associated with data breaches.
Who will use Seudo?
Data Protection Officers
Medical Researchers
IT Professionals
Data Analysts
Compliance Managers
How to use the Seudo?
Step1: Sign up on the Seudo platform using your email.
Step2: Upload the dataset you need to pseudonymize.
Step3: Configure the pseudonymization settings based on your requirements.
Step4: Execute the pseudonymization process to transform the data.
Step5: Download the pseudonymized dataset for secure sharing or further processing.
Platform
web
Seudo's Core Features & Benefits
The Core Features
AI-driven pseudonymization
Secure data transformation
Regulatory compliance tools
Intuitive web interface
Customizable pseudonymization settings
The Benefits
Enhances data privacy
Ensures regulatory compliance
Reduces risk of data breaches
Facilitates secure data sharing
Streamlines workflow integration
Seudo's Main Use Cases & Applications
Secure sharing of medical research data
Compliance with GDPR and HIPAA regulations
Protection of personal information in data analytics