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Immuta Introduces New Open Interface for External Data Catalogs, Global Policy Enforcement for Scalable Enterprise AI Governance

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Latest Version of Data Management Platform for AI Enables Accelerated
Data Access Through External Data Catalogs, and Automated,
Enterprise-Wide Data Policy Controls for Data Science Programs

Immuta
today unveiled new features to its data management platform, including
Global Policies, integration for external data catalogs, and Curated
Tags for more accurate and responsible AI and machine learning models.
These advancements help bridge the gap between data owners, data
scientists, and compliance teams, enabling them to work together to
enforce the right policy on any data set and accelerate data science
programs.

Immuta enables algorithm-driven enterprises to quickly connect to data
with any tool, dynamically control data from any source, and fully
comply with any regulation to enable fast, legal and ethical data
science. The latest platform release enables users with governance
permissions to build policies at the global level and enforce them
across all data sets. This eliminates ad hoc policy enforcement that
typically encumbers data owners and slows down the process of sharing
data across teams and projects.

"With the GDPR and new privacy regulations being enacted every day, all
data should be treated as regulated data. While data owners know a lot
about their data, they typically know very little about the policies
that should be applied to their data, the result being an ad hoc
approach to governance," said Steve Touw, Chief Technology Officer at
Immuta. "By empowering governance and legal teams to enforce policies on
data on a global basis, Immuta is enabling data scientists and
compliance teams to work in unison to accelerate data science programs."

Key features of the new Immuta platform include:

  • Global Policy Enforcement: Users with governance permissions
    can now build policies at a global level that semantically reference
    where to enforce policies. Legal teams can enforce policies such as
    "phone number masking" across all datasets, eliminating the need for
    data owners to apply policy each time they expose a data set.
  • Curated Data Tags: Immuta makes search and discovery easy and
    intuitive with new curated tags that mark entity types across data
    sets and columns. Users can easily build complex hierarchies of entity
    ontologies to tag data sources.
  • External Catalogs: Information on data, such as curated tags,
    can now be sourced from external catalogs and systems through a
    pluggable interface.
  • Support for Spark 2.x: Immuta recently announced support for
    Spark 1.6 and now extends it to Spark 2.x. With this feature, policies
    are enforced natively in SparkSQL during file access.

Visit the following link to watch a demonstration of global policies in
action: https://vimeo.com/281296413/4e5135c11d.
For a video demonstration of how external data catalogs can drive global
policy enforcement, click here: https://vimeo.com/281296742/efdd82ca19.

To learn more about the Immuta platform, visit our blog at: https://www.immuta.com/immuta-releases-v2-2/.

About Immuta

Immuta is the fastest way for algorithm-driven enterprises to accelerate
the development and control of machine learning and advanced analytics.
The company's hyperscale data management platform provides data
scientists with rapid, personalized data access to dramatically improve
the creation, deployment and auditability of machine learning and AI.
Founded in 2014, Immuta is headquartered in College Park, Maryland. For
more information, visit www.immuta.com
and follow us on Twitter (twitter.com/ImmutaData)
and LinkedIn (www.linkedin.com/company/10043125/).

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