Universal security and privacy automation
Protect data and manage risk
Analyze conversational chat data
Reduce the time and cost to comply
Self-service without friction or delay
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Tailor access controls and data privacy
Flexible, consistent, scalable
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A beginners guide to keeping sensitive data safe and usable for analytics in the cloud.
As organizations continue to build out data pipelines and analytics infrastructures in the cloud, they need to keep their data safe while maintaining its analytical utility. Solving their privacy concerns is critical to enabling analytics and data-driven business.
Organizations scaling their use of data in the cloud must leverage automated data privacy tools to ensure data privacy is built into the architecture by design. This will reduce some of the challenges of moving to the cloud. Data can be stored there safely by applying advanced privacy protections to the data itself, significantly reducing the risk inherent in using sensitive information, while retaining the analytical quality and resolution of the data.
In this short white paper, learn the major five key considerations to ensure your data stays safe, accessible, and usable in the cloud.
Our experts are ready to answer your questions and discuss how Privitar’s security and privacy solutions can fuel your efficiency, innovation, and business growth.