Sensitive data with complex access policies run rampant across organizations, and missteps can be grave. Immuta’s data privacy and policy controls are so granular and air-tight that even the most stringent organizations can confidently let their data scientists get to work.
At the heart of Immuta’s data policy enforcement is the fact that we reference all of your data virtually. This creates a virtual data fabric to all your data, allowing highly configurable and complex policies to be applied across your various data silos in a single layer.
Any time a new user wants to access a defined and exposed data source, you get the request, and you can define the access you want to give them.
For example, the European Union Data Protection Directive is daunting, but also stifling to data-driven innovation across your organization. Abstract all those complexities away with Immuta and focus on the analytics - legally.
You can change data policies on the fly without having to re-tag your data. Any change you make will instantly impact how users view and use your data.
You can audit all actions by users against your data: who accessed it, when, and why. You can even see what new data (reports, analytics…) were generated from that data. This is great not only for compliance, but for strategy: you understand what data you have, and how your organization is using it.
To work their craft, data scientists need access to data, sometimes data in its rawest form. But, getting access to this data is a massive challenge. With Immuta, you can discover and access all of your organization's disparate data from a single, secure catalog.
Immuta virtually and securely references all the data across your organization and wraps that data in a single catalogued library. Data owners expose their data sources, you “shop” for the data you need, and then request access. You can check out data virtually, and check in new insights about one or many datasets.
As soon as you’re given access to data, it appears in your Immuta virtual file system or your Immuta SQL connection. This allows complete code portability; you can use any programming language you want. No APIs. Code written once can run as any user in any paradigm.
Learn more, read our two part blog: DATA CONNECTIVE TISSUE.
Data wrangling is time consuming; share your work. Because Immuta lets you contribute new derived data sources, creative transformations of data are never lost, and no user ever has to repeat a data wrangling task.
Immuta allows you to know and share how people are using data across your organization. You can bring the right analysts, data experts, and data scientists together to create better models, maintain consistency, realize insight rapidly, and build higher-quality data-driven products.
Learn more, read our blog: SHARING AND SCALING KNOWLEDGE
When you access data in Immuta, your view of the data is based on the custom policy logic attached to that data compared against your authorizations. Write algorithms knowing no matter what you do, you will not introduce a data leak or see something you shouldn't.
Unlike most data fabrics, the Immuta data fabric is not restricted to only structured data. You can discover, subscribe to, share, wrangle, analyze, and restrict unstructured data sources.