In this blog, you’ll learn about: Snowflake data shares Considerations and complexities that can arise when “Snowflake data sharing” sensitive data How Immuta + Snowflake help simplify and scale sensitive data sharing for global organizations and can do the same for you! What is a Data Share? One of Snowflake’s major benefits...
As sensitive data, like personally identifiable information (PII) and protected health information (PHI), becomes more widely used across industries, it is incumbent upon data teams to have mechanisms in place to protect it. Snowflake’s Column-level Security capability enables dynamic data masking of this type of sensitive data through policies that are applied at query...
If Disney World were a database, we would rave about its access control strategy. It is secure: only authorized users get into the park or into any sensitive backstage areas. It is dynamic: many rides and concessions are available to the right people with the wave of a bracelet. Most...
As cloud data platform adoption accelerates and organizations become more reliant on data, teams using Snowflake as the primary platform for BI must have a tool that enables data masking across Snowflake and any other platform in their data stack. This article will walk through how Immuta delivers on this need with...
Segmenting data by geographies is a common requirement for row access policies in Snowflake. Still, many data teams continue to be roadblocked when it comes to implementing complex policies for row-level security at scale – particularly for sensitive data – due to location-based data use regulations, data use agreements, and internal,...
Immuta is the modern data security platform that gives you the power to leverage metadata to build and automatically enforce access policies and apply dynamic data masking techniques at query time. These capabilities make Immuta a seamless fit with Alation, which many customers rely on as their enterprise-wide data catalog solution. Put simply, Immuta allows you...
As cloud data platform adoption accelerates and organizations become more reliant on data, teams using Databricks as the primary platform for ETL and data science must have a tool that enables dynamic data masking across Databricks and any other platform in their data stack. This article will walk through how Immuta delivers on this...
The adoption of the Data Lakehouse architecture is soaring across various industries, as the new and open paradigm combines the best elements of data lakes and data warehouses. Open file formats with transaction support, combined with low cost storage and wide adoption, enable new ways of working with data pipelines and machine...
Data security is the responsibility of everyone in the organization. From ETL developers to business users and data consumers, anyone who relies on data shares a responsibility to use it appropriately. However, with several different systems and, in many cases, silos, it can often be difficult to effectively put this...
Implementing row- and cell-level security by hand can be a pain, whether that means maintaining an ETL pipeline to transform raw data into “clean” data that is viewable by analysts, or maintaining a system of GRANTs on views implementing the policies for an organization. This also does not factor in...
Cloud data platforms such as Snowflake provide native security and data access controls engineered for platform-specific administrators to manage roles across the organization. Snowflake leverages concepts from Discretionary Access Control (DAC) and Role-Based Access Control (RBAC) models. This provides some flexibility for and control over how users can access securable objects by managing a...
Organizations with large workforces are increasingly analyzing employee data using cloud data platforms such as Databricks in order to optimize performance, engagement, and results. This trend necessitates a new approach to Databricks access control. In this article, we’ll walk data engineering and operations teams through how to dynamically enforce k-anonymization on a...
Organizations are increasingly adopting data lakehouse architectures to reap the benefits of added flexibility, scalability, and cost-efficiency that they provide. But the need to consistently implement data access control across this open architecture approach can be elusive. Here, we’ll look step-by-step at how Immuta provides centralized, fine-grained access control across different cloud data platforms...
Data use agreements (DUAs) are vital to ensuring individuals’ data is used compliantly and transparently. Just as data use agreements help protect data subjects’ personal privacy, avoiding misuse of personal data can protect organizations in every sector, from healthcare and financial services to the government, from liability, fines, breaches of...