Immuta’s PostgreSQL integration delivers automated, scalable, policy-based access control for one of the most widely adopted databases – PostgreSQL— no matter how it’s deployed. Whether you’re running Postgres on Amazon Aurora, RDS, Neon, or CrunchyData, Immuta makes it possible to automate data access governance with full transparency, always-on auditability, and...
Explore how Immuta’s Domains capability enables federated data governance by giving business units control over the data they know best — without sacrificing compliance. This demo walks through a layered model comprising global-, domain-, and product-level policies, and shows how domain data stewards across business units can manage access, policies,...
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...
This demo highlights Immuta’s enhanced review flow configuration, enabling fine-grained control over who can approve data access requests within an organization. Instead of defaulting to data product owners, Immuta allows you to assign individual users, groups, or roles (like GDPR-trained users or audit roles) as data stewards with decision-making power....
Manually managing temporary data access at enterprise scale is a headache that often leads to over- or under-provisioning. This causes more than just frustrating access delays – it can also undermine governance and compliance standards. In this demo, see how to simplify and automate the process with Immuta’s Temporary Approvals...
In this demo, you’ll see how Immuta AI’s Review Assist feature streamlines data access reviews and accelerates decision-making. Managing approvals manually is simply unrealistic as the volume of data and requests grows exponentially, especially amid the increasing adoption of autonomous AI agents. Ticketing systems were not built to handle this...
In this short demo, see how an AI agent like Claude can be configured to interact with the Immuta Marketplace via the Model Context Protocol (MCP). You’ll see how the agent summarizes pending data access requests, auto-approves low-risk ones, flags high-risk scenarios, and handles approvals — all based on a...
In this video, you’ll see how to classify and control data at scale — without relying on central data teams or stitching together external tools. With Immuta’s seamless implementation, this feature closes a critical gap in traditional metadata catalogs by making sensitive data discoverable and governable within domain boundaries. Check...
How do you balance the need to secure your data with today’s demands for fast, efficient, and scalable access? It’s a question that can plague even the most innovative data teams. Traditional data access processes are often slow, complex, and error-prone, hindering data-driven decision-making and innovation. Adopting a data product-centric...
As the foundational element of the Immuta AI layer, Immuta Copilot accelerates data policy creation and data access. Data governance teams can instantly generate data access policies from natural-language prompts, making it easier for any user — regardless of technical expertise — to efficiently manage and scale policy enforcement within...
We live in an age where data sources, users, and demands are greater than ever — and continuing to grow. Most Immuta customers have at least 1,000 data sources and 30,000-50,000 active users, but only a handful of data governors to respond to data access requests.
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...
For federal agencies, protecting sensitive data isn’t just a matter of compliance – it could impact national security. A 2021 executive order aimed to bolster data security for public sector organizations by mandating zero trust architectures, which require continuous verification and authentication of user identities before allowing access to data. To support these organizations, Accenture Federal Services built its...
Explore how you can use row redaction to apply fine-grained access controls on sensitive genomics data sets. Learn more about securing genomics data.
See how to build and enforce simple yet robust Starburst data security and access control using Immuta. This demo shows how to create purpose-based controls on sensitive financial data, so you can ensure the right users can access data for the right reasons.
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.
Struggling to manage your Amazon S3 controls? Learn how Immuta enables teams to create and manage subscription policies on their S3 objects so that all downstream users can get more use and value out of that data. Learn more about Immuta + Amazon S3 here.
In this demo, you’ll learn how to create an Immuta Domain, assign users and permissions, and manage policies to control data access within these decentralized domains. Learn more about Domains in this blog.
See how you can use randomization as a manner of protecting the privacy of sensitive genomics data. Learn more about securing genomics data here.
Learn how Immuta can protect sensitive healthcare and life sciences data sets in The Snowflake Data Cloud.
See how Immuta simplifies, scales, and audits access controls in Databricks for sensitive healthcare and life sciences data sets.
Learn how policy becomes code for Databricks tables using the full functionality of Immuta’s policy creation and implementation capabilities.
Learn how to use the Immuta integration with Amazon S3 Access Grants to manage access to objects stored in S3 for EMR jobs. You can find more on Immuta + Amazon S3 here.
Learn how to import Custom Fields from Alation into the Immuta Data Security Platform in order to support dynamic access controls. Find more on Immuta + Alation here.
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...
In this demo, learn how Immuta and Revelate integrate to allow any organization to share and monetize their data securely at scale.
Learn how Immuta Projects, logical groupings of data sets, allow users to collaborate securely and compliantly with data use agreements and other context-based data compliance regulations.
In this short demo, you’ll learn how Immuta Detect enables organizations to continuously monitor and drill down into user activity on sensitive data across data platforms.
See how Immuta natively integrates with Databricks to deliver seamless data discovery, security, and monitoring, complete with attribute-based access control, dynamic data masking, and built-in purpose restrictions.
In this demo, you’ll see how to easily write policies in Immuta and dynamically apply them across datasets in Google BigQuery to protect sensitive information from unauthorized access.
Immuta is the first Data Security Platform to natively and fully integrate with Databricks Unity Catalog to secure workloads on the Databricks Data Intelligence Platform. This means you can secure your data at scale on Databricks and unlock more value from your data. See how it works in this demo.
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.
See how you can secure your Amazon S3 data with scalable, comprehensive controls using the Immuta Data Security Platform. Learn more about Immuta + Amazon S3 here.
Discover how you can use Immuta’s integration with Amazon S3 to enable secure, controlled access to VCF files for genomics analysis. Learn more about securing genomic data. Dig deeper into Immuta + Amazon S3.
See how Immuta integrates with Databricks to provide an easy-to-use, automated solution to scale data security for Databricks. Immuta Solutions Architect Sam Carroll walks through how to automate data discovery, access control, and governance over sensitive data across Lakehouse architectures.
This demo provides an overview of how attribute-based access control (ABAC) streamlines and simplifies the access control models of the past.
Learn how you can leverage both read and write policies to secure your Starburst Trino data using Immuta’s native integration. You can learn more about Immuta + Starburst here.