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Trūata Calibrate is a privacy-centric data management tool designed to help organizations operationalize data pipelines while maintaining compliance with privacy regulations. Main features include automated risk measurement, a centralized privacy risk dashboard, standardized data transformation solutions, and targeted data de-identification for safe sharing. Trūata Calibrate also offers privacy risk scans on data assets and maintains an auditable compliance trail, ensuring a robust yet flexible approach to managing data privacy.
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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
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Need to ensure compliance with privacy regulations through automated risk assessments and an auditable trail.
Require tools to transform and de-identify data to safely share it across departments.
Need seamless integration of data management tools within existing cloud environments.
Require a centralized dashboard to manage and monitor privacy risks efficiently.
Need dynamic recommendations for data transformation to leverage data responsibly.
Need a standardized solution to offer privacy-centric data transformation advice to clients.
Require privacy-enhanced data to run campaigns without violating data protection laws.
Need to protect patient data through targeted de-identification techniques.
Require robust data privacy measures to safely handle sensitive financial data.
Need tools to manage and transform customer data in a privacy-compliant way.
Get the latest AI workflows to boost your productivity and business performance, delivered weekly by expert consultants. Enjoy step-by-step guides, weekly Q&A sessions, and full access to our AI workflow archive.