Clean Rooms Differential Privacy: user protection backed by math

Empowering organizations to safeguard user privacy with confidence and ease

Data Science
Data Governance
Differential Privacy
Marina Kozlova

In today's era of data and AI democratization, the importance of safeguarding user privacy cannot be overstated. As organizations increasingly rely on data to drive insights and innovation, protecting sensitive information has become a critical imperative. We're excited to unveil Sarus Clean Rooms Differential Privacy, a groundbreaking solution designed to empower organizations to protect user privacy with confidence and ease, adding a vital layer of Differential Privacy atop cloud or on-premises data clean rooms.

Protecting privacy with mathematically backed controls

At the core of Sarus Clean Rooms Differential Privacy lies a robust framework built on state-of-the-art mathematical principles. Users' privacy is safeguarded through mathematically validated controls, even in the face of complex data analysis in SQL or Python. This is ensured by differential privacy, a rigorously substantiated approach shielding individual data points by introducing a precise level of randomness, thereby concealing the presence or absence of any single individual within an analyzed dataset.

Implementing differential privacy can be a daunting task, requiring a deep understanding of intricate mathematical concepts. But with Sarus Clean Rooms Differential Privacy, complexity is a thing of the past. Our fully managed capability ensures that no prior experience with differential privacy is needed. In just a few simple steps, you can prevent the re-identification of your users and maintain the integrity of your data atop your existing cloud or on-premises data clean rooms.

Unleashing insights without compromising privacy

The product seamlessly integrates with cloud and on-premises data clean rooms, allowing data consumers to interact with private data without the risk of privacy leakage. From optimizing media planning to accelerating biomedical research, Sarus empowers organizations to run a broad range of SQL queries and AI pipelines while preserving individual data privacy.

Key Benefits

  • State-of-the-art mathematical protection: Ensure the highest level of privacy for your users' data.
  • Fully managed, no prior experience needed: Simplify the implementation process and empower your team to protect user privacy effortlessly.
  • Unlimited SQL queries and AI pipelines: Unlock actionable insights with usual SQL and python analyses.
  • Automated protection, self-serve mode: Forget about use case per use case, query per query validation, focus on what matters: creating value.
  • Easy governance: Streamline governance and compliance efforts with automated privacy controls.

Use case examples

  • Optimize media planning: Strategize advertising expenditure by identifying user intersections with marketing collaborators while maintaining anonymity regarding shared customers.
  • Better measure advertising campaigns performance: Assess the effectiveness of marketing investments with media partners to refine campaigns by analyzing joined data.
  • Enhance auto insurance policies: Develop better auto insurance policies with advanced insights on driving demographics provided by a partner, while preserving individual data privacy.
  • Accelerate biomedical research: Foster clinical research advancements through collaborations with healthcare institutions while safeguarding patient confidentiality.

Ready to take the next step in safeguarding user privacy? Contact us to learn more about how DP can empower your organization to protect user privacy while unlocking valuable insights.

At Sarus, we believe that privacy should never be compromised. With Sarus, you can protect users' privacy with confidence, knowing that their sensitive information is in safe hands!

About the author

Marina Kozlova

Customer Success Manager


Ready to unlock the value of your data? We can set you up in no time.


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