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Sarus - Privacy-preserving data access for analytics/AI
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2022-05-28 08:10:37

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2022-05-28 08:10:37

@media only screen and (min-width: 1440px) { body {font-size: 14.4px;}}@media only screen and (min-width: 992px) and (max-width: 1200px) { .codeeditor-p {font-size: 7.6px;}}@media only screen and (min-width: 992px) and (max-width: 1200px) { .codeeditor-txt2 {font-size: 7.6px;}}@media only screen and (min-width: 992px) and (max-width: 1200px) { .terminal-txt {font-size: 7.6px;}}SolutionsProductTechnologyCareersBlogLoginBook a demoSolutionsProductTechnologyCareersBlogLoginBook a demoPRIVACY-BY-DESIGNTime-to-data: from months to minutesSarus lets data practitioners work on data without ever accessing it. It proxies queries and enforces the highest level of privacy. Time-to-data is reduced from months to minutes with maximum data security.Get startedFOR WHOEmpower every data stakeholderDATA & COMPLIANCE OFFICERSData protection at scaleEliminate case by case risk assessments and anonymization strategies. Easily implement data governance across all data assets.DATA PRACTITIONERSHigh performanceCreate insights, build models, and ship code without dependence on engineering or compliance approvals. Leverage the  full data while still using the most common BI tools and ML libraries.DATA ENGINEERSNo-hassle privacy engineeringPower your existing data workflows with the gold standard of privacy instead of implementing and maintaining complex anonymization logic for every analytics and data science need.POWERFULA better and safer alternative to anonymizing dataSafely leverage unaltered original data and get the highest utilityLeverage all data types, including text or imagesPreserve full linkability of recordsFAST & SECURETime-to-data from months to minutesPrinciples-based data governance that scalesProtection based on the gold standard of privacy: differential privacyApply privacy policy templates in one clickSIMPLEWorks natively with the data workflows you have todayDeploy within your infrastructure and connect all sourcesCompatible with all standard BI tools and python librariesAccess Data without building and maintaining an anonymization pipelineHOW IT WORKSAnonymization, re-inventedWork on original data remotely instead of using altered, de-identified data. With Differential Privacy at the core of all interactions, all outputs are protected against all privacy risks.Scalable ComplianceApply high level privacy principles across the organization so that each practitioner has the right level of access.Synthetic DataDo all preparatory work on high-utility synthetic data that is provided automatically for each data source.The Sarus GatewayUse Sarus Gateway to interact with  original data assets in a privacy-preserving manner.ML & BI integrationsUse Sarus in your existing worklfows to connect all data sources to standard BI tools and ML librariesDiscover the product Unlock value from all datasets in minutes!Deploy, connect, play.Get started today.Get startedFREQUENTLY ASKED QUESTIONSCan Sarus see my data?No, Sarus is deployed on your data infrastructure. Sarus employees never have access to the instance or the data.Does working on data through the Sarus Gateway impact the quality of insights or model performance?No, insights or models are built using the original data, providing the maximum accuracy permitted.Is Sarus compliant with data protection regulations?Yes! Regulations like GDPR, CCPA, or HIPAA promote data minimization and anonymous information. With Sarus, minimization is paramount as data practitioners are not able to view records. Differential privacy also provides a mathematical guarantee of anonymization.How can I work on data if I cannot see it?Data practitioners interact with data behind the Sarus gateway just like they would with a regular database.  For example, in order to browse lines, they would request synthetic data (generated with differential privacy). To query the data or train machine learning models, they send the data jobs the gateway which processes the requests on the real data for maximum utility.How long does it take to get value from Sarus?Literally minutes! Sarus deploys natively in all clouds and, in a few clicks, data sources can be connected and private access granted to data practitioners.More questions?From our blogSarus and NIST release SDNistAn open-source python library to benchmark differentially private synthetic data generatorsSarus on top of HackerNews!We just released an open demo, try it out!Discover the Sarus blogAppleapple.com/privacy“Apple has adopted and further developed a technique known in the academic world as local differential privacy to do something really exciting: gain insight into what many Apple users are doing, while helping to preserve the privacy of individual users.Microsoft AImicrosoft.com/en-us/ai“Differential privacy simultaneously enables researchers and analysts to extract useful insights from datasets containing personal information and offers stronger privacy protections.‍US Census Bureauwww.census.gov“2020 US Census results will be protected using differential privacy, the new gold standard in data privacy protection.Ready to put all of your data to work?Get in touch, you'll be up and running in no time.Get startedmain.py123456ShellSubscribe to our newsletterYou're on the list! Thank you for signing up.Oops! Something went wrong while submitting the form.32, rue Alexandre Dumas75011 Paris — FranceSarus techProductTechnologySarus GatewayDifferential PrivacyResourcesGithubREST APIPython SDKAboutBlogCareersContact us Legal notice©2022 Sarus Technologies.All rights reserved.Privacy Policy.bdp2-img { pointer-events: none;}.contactForm-img { pointer-events: none;}.blog-gradient { opacity: 0.2;}.w-slider-dot { height: 0.56em; width: 0.56em; background: #216B72; top: 0.21em;}.w-slider-dot.w-active { height: 0.97em; width: 0.97em; background: white; border: 0.21em solid #216B72; box-sizing: border-box;}.w-slider-nav.w-round>div { border-radius: 20px;}