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Policies, enforced consistently across distributed environments, ensure the best performance by applying protections close to where data lives.
We extend policy-based controls across provisioning patterns to protect data whether it’s pulled directly from a database or pushed into analytical datasets. We can apply policies in the query path for users to query sources directly using SQL, or apply policies in data pipelines to provision datasets for users or groups.
Centralized policy management gives you the power to define policies in one place and protect data across all your platforms and services. Policies apply consistently and avoid the complexity of developing controls for each individual platform.
Separating policy definition in the control plane from enforcement on multiple data planes provides flexibility. Policy enforcement makes the most of data processing platforms that are already in place to make sure scale is never an obstacle to protecting sensitive data.
When analysts want to query data pulled directly from a data source, our access controls limit the visible data to what’s necessary for an analysis. Analysts can then ask their questions to a controlled view of data, in front of the data source.
When data scientists want datasets pushed to a specified location, our privacy controls combine to create de-identified datasets that implement data minimization principles for every analysis. Users can analyze protected data without reprocessing for every query.
Streamline processes to enable effective and responsible data use without friction or delay.
Streamlined collaboration between data owners, guardians, and consumers puts the right data in the right hands, faster than ever.
Policies align data protection to approved business use, regulations, and compliance frameworks for simplicity, speed, and scale.
Controlled access to data, adjusted by contextual attributes like user and purpose, means users can share data without exposing sensitive information.
Data-centric protections, tailored to context, maximize the business value of data and minimize the risk of exposing sensitive information.
In modern data provisioning, privacy and accountability are built into the provisioning process directly to optimize efficiency and accelerate access to data.
Our team of data security and privacy experts are here to answer your questions and discuss how modern data provisioning can fuel business growth.