Syntho: Self-Service AI-Generated Synthetic Data Platform
Syntho is a self-service platform that uses AI to generate synthetic data. This allows businesses to access and utilize data for various purposes while maintaining privacy and compliance. The platform offers a range of features, including data masking, de-identification, and the creation of synthetic data twins, all within a secure and user-friendly environment.
Key Features
- AI-Generated Synthetic Data: Mimics the statistical patterns of original data to create realistic synthetic datasets.
- Test Data Management: Creates, maintains, and controls representative test data for non-production environments.
- Data Masking: Protects sensitive information by removing or modifying personally identifiable information (PII).
- De-identification and Synthetization: Offers various methods for anonymizing and generating synthetic data.
- Rule-based Synthetic Data Subsetting: Allows for the creation of subsets of data based on specific rules.
- Quality Assurance Report: Provides reports on the quality and accuracy of the synthetic data generated.
- Time Series Synthetic Data Upsampling: Handles time-series data effectively.
- PII Scanner: Detects and flags personally identifiable information.
- Synthetic Mock Data: Generates realistic mock data for testing and development.
- Consistent Mapping: Maintains consistency between original and synthetic data.
Use Cases
Syntho's applications span various industries and use cases:
- Faster Testing and Development Cycles: Synthetic data accelerates testing and development by providing readily available, production-like data without the constraints of real data access.
- Compliance with Regulations: Helps organizations meet data privacy regulations by minimizing access to sensitive data.
- AI/ML Model Training: Provides high-quality synthetic datasets for training AI and machine learning models.
- Data Sharing and Collaboration: Facilitates secure and compliant data sharing among stakeholders.
- System Migration: Supports seamless transition testing processes during system migration projects.
- Data Analytics: Provides access to large datasets for analytics without compromising privacy.
Benefits of Using Syntho
- Fast Data Access for Analytics: Quickly access data for analysis without delays.
- Stay Compliant with Regulations: Ensure adherence to data privacy regulations.
- Minimize Access to Sensitive Data: Reduce the risk of data breaches.
- Production-Like Test Data: Use realistic data for testing and development.
- Fully Automated and Integrated Approach: Seamlessly integrate with existing workflows.
- Accelerate Innovation: Foster agile and risk-free innovation initiatives.
- Mitigate Risks: Reduce risks associated with sensitive data sharing.
Deployment and Usage
Syntho's deployment process is straightforward:
- Deploy in your environment: Syntho deploys within the customer's secure environment.
- Connect to your database: Connect to source data and target environments using Syntho's connectors.
- Generate your data: Define the type of synthetization needed and automatically detect sensitive data types.
- Share/Use the protected data: Utilize and share the protected data securely.
Conclusion
Syntho provides a comprehensive solution for generating and managing synthetic data, enabling organizations to unlock the value of their data while upholding privacy and compliance. Its user-friendly interface and robust features make it a valuable tool for businesses across various sectors.
