Truata Calibrate
Data Management

Optimize Data Management with Trūata Calibrate
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About Truata Calibrate
Trūata Calibrate is a cutting-edge solution that helps organizations operationalize data pipelines with privacy-compliant data management. It offers intelligent automation for risk measurement and mitigation, making it easier to manage privacy risks through a centralized dashboard. The platform's smart, standardized solution for data transformation ensures that data assets are scanned to identify privacy risks and provides targeted de-identification for safe data sharing. Additionally, Trūata Calibrate maintains an auditable trail of compliance, giving organizations peace of mind when handling sensitive data.\n\nWith seamless integration within existing cloud environments, Trūata Calibrate is designed with privacy-by-design principles baked into everyday operations. This empowers teams with privacy-enhanced data through automated privacy risk assessments, standardized risk scores, and detailed risk reports. Dynamic recommendations and simulations for data transformation further enhance the platform's usability, ensuring that organizations can make data-driven decisions while maintaining compliance.\n\nTrūata Calibrate utilizes patent-pending Fingerprint technology for quantitative risk assessments. It offers dynamic recommendations for data transformation and allows users to simulate the privacy-utility impact of their data handling practices. By transforming data into privacy-enhanced datasets, Trūata Calibrate enables responsible data sharing and transfers, making it an invaluable tool for any organization looking to leverage data responsibly and effectively.
Key Features
- Intelligent automation for risk measurement and mitigation
- Centralized dashboard for managing privacy risks
- Smart, standardized solution for data transformation
- Scans data assets to identify privacy risks
- Targeted de-identification for safe data sharing
- Auditable trail of compliance
- Seamless integration with cloud environments
- Automated privacy risk assessments
- Dynamic recommendations for data transformation
- Privacy-by-design principles in operations