For public sector organizations, zero trust data security is mission critical. But the challenge is turning a framework into reality, and protecting sensitive data for analytics. Immuta’s native integration with Snowflake helps overcome this hurdle by creating an efficient, scalable zero trust solution for analytics. With dynamic attribute- and purpose-based...
Data security is the responsibility of everyone within an organization. Platform-native security and access controls provide robust technical protections, but you need assurance that policies are consistently enforced and that you have proper visibility into who has access to specific data — across all connected platforms. This is where Immuta’s...
Snowpark is the developer framework for Snowflake, bringing deep, language-integrated data programmability to users in multiple languages. In this demo, you’ll see how Immuta loads and protects satellite data with Snowflake Snowpark.
Immuta partners with Snowflake to ensure customers can protect and govern their data on the Snowflake Data Cloud. With Immuta, customers can create data policies once and have them enforced across multiple data and cloud platforms without manual role management.
Learn how Immuta can protect sensitive healthcare and life sciences data sets in The Snowflake Data Cloud.
See how Immuta’s native integration with Snowflake allows you to easily discover sensitive data, secure it with dynamic attribute-based access control and advanced data masking, and monitor usage to detect risks or threats.
In this demo, Immuta CTO Steve Touw explains how to achieve both horizontal and vertical policy enforcement in data mesh architectures using Immuta and Snowflake. Through a real-life scenario, you’ll see how Immuta simplifies data discovery, access control, and auditing on data products and workloads in Snowflake, allowing domain teams...
Learn how Immuta integrates with Snowflake Cortex to build policy against data being consumed by GenAI models and strengthen end-to-end control over sensitive data access. You can learn more about how Immuta supports RAG-based GenAI here.
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,...
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...
As organizations increasingly adopt LLMs in order to unlock greater savings and productivity, the Snowflake AI Data Cloud is on the leading edge of AI’s evolution. Snowflake Cortex empowers organizations to seamlessly leverage their data with LLMs, ensuring that usage is ethical, responsible, and secure. But to fully reap the...
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...