AWS Clean Rooms Differential Privacy helps you protect the privacy of your users with mathematically backed and intuitive controls in a few steps. As a fully managed capability, no prior differential privacy experience is needed to help you prevent the re-identification of your users. AWS Clean Rooms Differential Privacy obfuscates the contribution of any individual’s data in generating aggregate insights in collaboration outputs and helps you run a broad range of SQL queries to generate insights about advertising campaigns, investment decisions, clinical research, and more.
What is differential privacy?
Differential privacy is a mathematically proven framework for data privacy protection. The primary benefit behind differential privacy is to help protect data at the individual level by adding a controlled amount of randomness to obscure the presence or absence of any single individual in a dataset that is being analyzed.
However, differential privacy is not easy to implement because configuring this technique requires an in-depth understanding of mathematically rigorous formulas and theories to apply it effectively. We created AWS Clean Rooms Differential Privacy to help you protect the privacy of your users with mathematically backed controls in a few steps.
Benefits of AWS Clean Rooms Differential Privacy
Apply sophisticated mathematically proven differential privacy with no prior experience
Reduce heavy lifting and auditing with a fully managed differential privacy capability
Use highly flexible and configurable controls to support your specific use cases
Perform differentially private analyses using various queries
Optimize media planning
Expand advertising campaign measurement
Measure the return on investment (ROI) of marketing with a media publisher to optimize campaigns based on aggregate advertising insights.