Immuta SaaS Now Generally Available to Control Access to Modern Data Stacks

To deliver on the need to manage and secure software across modern data stacks, Immuta has announced the general availability of SaaS deployment. This includes SOC 2 Type 2 Certification, enabling data teams to automate data access control while eliminating the need to self-manage and maintain the deployment.

Immuta’s SaaS deployment enables data teams to be completely operational with automated data access control within minutes, with 99.9% SLA uptime for core functionality. It is available in North America and EMEA for Snowflake, Databricks, Starburst, Trino, Azure Synapse, and Amazon Redshift.
This deployment model includes Immuta’s full suite of capabilities, including:

• Universal cloud compatibility
• Scalable attribute-based access controls (ABAC)
• Dynamic data policy enforcement and auditing
• Data masking, anonymization, and advanced privacy-enhancing technologies (PETs)

What is a Modern Data Stack?

There are many opinions and “who’s who” vendor lists for the modern data stack, most of which are created by vendors and analysts. But the simplest way to understand a modern data stack is by asking practitioners what they have today and how they would architect it from scratch if given the opportunity to use the latest best-of-breed technologies. This is what Andreesen Horowitz has shared in its blueprints for data infrastructure.

Gartner also published “A CTO’s Guide to Top Artificial Intelligence Engineering Practices,” which is a capability guide for modern data stacks that lists ModelOps, DevOps, Generative AI, and DataOps vendors.

Both of these articles include Immuta as a critical solution for the modern stack.

Data Access Control in the Modern Data Stack

The disruptive factors to data access in modern analytics include:

1. Data platform complexity: Traditional role-based access control models from Hadoop-era data platforms no longer scale in cloud-native data architectures.
2. Rule complexity:Business: any rules specific to a company, such as segmenting data by business line or region.Regulations: any rules specific to a regulation or industry.Contractual: any rules to use or consume data being exchanged between third parties.
3. User complexity: Scaling analytics across more diverse users, user types, and levels results in role explosion and does not scale.

Similar to how the separation of compute and storage was the foundation for data processing in modern data stacks, it’s becoming necessary to separate the policy layer to scale data access. When decoupling the policy layer with automated data access control, there are many factors to consider in how this critical security and governance solution gets deployed.

Importance of SaaS Deployment in Modern Data Stacks

There are a number of factors organizations must consider when deploying the policy tier for data access control. Many modern data stacks are increasingly deployed as SaaS, which means there is no infrastructure to manage software. For example, Billie, a fintech startup with a data stack that includes Snowflake, Fivetran, Airflow, and other leading tools, adopted the Immuta SaaS deployment in public preview and accelerated the time needed to grant proper access to sensitive data in Snowflake from days to minutes – an improvement of more than 10x.

More About Immuta Deployment

Immuta SaaS deployment is the fastest way to automate data access control. A free trial can be requested here. Or Immuta can be launched in a single click as the first data access control solution to be included on Snowflake Partner Connect, for an end-to-end SaaS deployment.