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Immuta was founded in 2015 based on a mission within the U.S. Intelligence Community to accelerate self-service access to and control of sensitive data. The Immuta Automated Data Governance platform today powers compliant BI, analytics and data science for the world's most data-driven organizations. Data engineering and DataOps teams rely on Immuta to deliver governed data to more users, faster, by dynamically adapting data views for each user based on intelligent data policies and Privacy Enhancing Technologies (PETs). Immuta's automated, scalable, cloud-native approach makes it easy to catalog data, build security and governance policies, foster self-service access and collaboration, and audit data use. Selected by Fast Company as one of the World's 50 Most Innovative Companies, Immuta is headquartered in Boston, MA with offices in College Park, MD and Columbus, OH.

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Research Report: Data Engineering Survey: 2021 Impact Report

by ImmutaMar 02, 2021

We're on the verge of a perfect storm for modern data access governance. As organizations lean into data and the cloud, new research shows that the majority will adopt multiple cloud compute technologies within the next two years. As a result, data teams will need a modern framework, architecture, and suite of tools to make their cloud data platforms work together efficiently and securely.

This report highlights the current and future state of data engineering and DataOps, including analysis on:

• The adoption rate of cloud data platforms and what is means for the future of data use
• The most challenging aspects of the cloud data management process
• Handling sensitive data in an increasingly regulated environment
• What organizations and data teams need to remain competitive in our evolving data ecosystem

Whitepaper: Automated Data Governance 101

by ImmutaMar 02, 2021

When it comes to the enterprise, data science and data governance programs are built on competing objectives, and enterprises have no choice but to try to satisfy both demands. Compliance and privacy programs, for example, require increasingly strict limitations on who can use what data and why, thanks to increasing regulations on data. On the other hand, data scientists need access to as much data as possible, as quickly as possible — otherwise their analysis could fall flat.

Our founding team spent over a decade working in the U.S. Intelligence Community, tackling some of the most complex and sensitive data problems in the world. This paper outlines lessons we've learned about how data science and governance programs can, if implemented properly, reinforce each other's objectives, and in the process, strengthen the core goals of your business and maintain customer loyalty.

Whitepaper: How to Avoid the Challenges of Cross-Platform Data Access Governance

by ImmutaMar 02, 2021

Within the next two years, 75% of organizations expect to be "primarily" or "entirely" cloud-based, and more than half plan to adopt two or more cloud data platforms. This shift is not necessarily unexpected — but it is happening faster than industry analysts predicted. This white paper dives deep into the future of cloud data ecosystems to uncover:

• How the rise of DataOps and cloud data access are forcing data teams to evolve
• The biggest obstacles facing data teams as they adopt multiple cloud data platforms
• The limitations of traditional data protection processes and why they can't scale across cloud platforms
• How the increasing use and regulation of sensitive data could hinder its value and impact
• Specific ways data teams can overcome these challenges, as demonstrated by The Center for New Data