Automated 95% of data requests to 6000 analysts, who were spending 30% of their time waiting for data
Why Immuta
Learn why a Data Security Platform enables data teams to achieve both scalability and data security.
100x Faster Data Access
- Enable faster time-to-data
- Increase productivity
- Empower business to manage access
75x Fewer Data Policies
- Eliminate complexity
- Scale data access
- Retire legacy systems
Migration to Databricks + Immuta saved $1.2M/year in cloud operations costs
Improved Data Security & Compliance
- Safely share more data
- Easily prove compliant data use
- Full visibility into all data access
Automated controls for 600,000 data sources provide safe and compliant data use (eg CCPA, GDPR, ICFR, etc)
Problem
Data Access Policies are the Bottleneck
For every piece of data, there are policies that dictate who can see that data and what they can do with it. With more data sources and users, complexity increases exponentially and creates huge barriers to data access.
Scale data access policies
CAPABILITY: Flexible decision points using roles, attributes, and purposes
WHAT’S UNIQUE: Immuta delivers the industry’s only dynamic, attribute-first access control model for data infrastructure
METRIC: Dynamic policies reduce management burden by 75X*
It took 96 policies to filter 12 tables using Ranger, versus 1 policy in Immuta to filter hundreds to thousands of tables. This increased time to data from 4 weeks to instant access.
Share and use data safely
CAPABILITY: Detailed auditing and reports for compliance stakeholders
WHAT’S UNIQUE: Immuta’s powerful access control model simplifies policy management by 75X making it easy to understand all data use
METRIC: Increase permitted cloud data use cases to 100%
When we show the GSO (global security office) the capabilities of Immuta, they say oh wow. We never thought there is somebody who can do something like this, and they definitely were impressed, including my boss, who obviously was very supportive of onboarding Immuta into our technology stack.
Plain Language Data Policies
CAPABILITY: Plain language data policies for business and technical users
WHAT’S UNIQUE: Immuta’s flexible policy management enables business or technical stakeholders to author scalable policies in plain language with stunning ease, and allows data platform engineers to manage policies as code.
METRIC: IT only has to manually approve 5% of requests – the rest are automated.
Delegating the management into the hands of the people who are actually responsible for the data was a huge and critical aspect from a business perspective, because at the moment it just doesn't work.
Without Immuta
- 75 Static Policies
- 50 data consumers safely accessing sensitive data products
- Managed by specialized engineering resources
- Manual effort that takes months
- Hard to explain and understand policies
- Blind to leaks and violations
- Information to manage entitlements is spread across systems
With Immuta
- 1 Dynamic Policy
- 50,000+ data consumers safely accessing sensitive data products
- Managed by any technical or business stakeholder
- Automated access takes seconds
- Easy to understand policies
- Safely monitor all sensitive data use
- Information driving policy decisions is centralized across systems
What is Immuta?
Immuta is the market leader in data security and access, providing data teams one universal platform to control access to analytical data sets in the cloud. Only Immuta can automate access to data by discovering, securing, and monitoring data. Data-driven organizations around the world trust Immuta to speed time to data, safely share more data with more users, and mitigate the risk of data leaks and breaches. Founded in 2015, Immuta is headquartered in Boston, MA.
What is the importance of data governance?
Effective data governance is critical for ensuring that an organization’s data remains consistent and trustworthy and that it can’t be misused. It’s becoming increasingly important as organizations face new data privacy regulations and rely more and more on data analytics to help optimize operations and drive decision-making across the business.
What are the benefits of automated data management?
Automated data management helps organizations streamline enterprise-wide data management tasks and is designed to speed up business operations and reduce costs. Automating data management also allows organizations to make sense of large quantities of data by mechanizing redundant work and leaving higher-level tasks to people.
What are the differences between Immuta vs. Privacera?
Although Immuta and Privacera both offer data access control capabilities, according to a study by GigaOm, Immuta’s more dynamic approach reduces policy burden by 75x compared to Privacera, which runs on Apache Ranger. This is primarily due to the fact that Immuta leverages attribute-based access control (ABAC) to make fine-grained access decisions at query runtime, while Apache Ranger uses role-based access control with object tagging (OT-RBAC). The latter is a legacy approach that allows policy creation based on tags, but is inherently static and requires far more policies to manage evolving data needs. Meanwhile, ABAC takes a multi-dimensional approach to policy creation and enforcement, making it more dynamic and scalable. Therefore, Privacera’s access control capabilities are far more limiting and require substantially more manual effort by data teams to manage than Immuta, which is built to grow and evolve at the speed and scale of modern data needs.
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