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Text Content

 * Product
   
   OVERVIEW
   
    * DATA SECURITY PLATFORM OVERVIEW
      
      Cloud data security at scale
   
    * DISCOVER
      
      Sensitive data discovery and classification
   
    * SECURE
      
      Security and data access control
   
    * DETECT
      
      Continuous activity monitoring and risk detection
   
   KEY FEATURES
   
    * ATTRIBUTE-BASED ACCESS CONTROL
   
    * DYNAMIC DATA MASKING
   
    * PRIVACY ENHANCING TECHNOLOGIES
   
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AUTOMATE DATA ACCESS & PRIVACY CONTROLS ACROSS CLOUD DATA PLATFORMS

As data teams modernize data stacks for the cloud, it’s becoming more difficult
to control enterprise-wide data access across cloud data platforms. Each
platform has its own native access controls, which multiplies the risks, costs,
and maintenance as new platforms are added. Immuta is the modern data access
control solution for cloud data ecosystems, enabling data teams to accelerate
data delivery, simplify administration, reduce risk, and safely unlock more
data.

Common Data Access Control Scenarios:

 * Enable Local and Regional Data Segmentation
 * Access Data Across Multiple Cloud Platforms
 * Centralize Data Policy Management

REQUEST A DEMO


CENTRALIZED DATA ACCESS CONTROL

Using Immuta’s plain language policy builder, data teams can centralize and
automatically enforce data access and security policies across multiple cloud
data platforms through modern, fine-grained, attribute-based access controls
(ABAC).

CLOUD DATA DISCOVERY AND CLASSIFICATION

With Immuta’s sensitive data discovery, data teams can auto-detect sensitive
data and generate standard classification and tagging across cloud data
platforms to deliver consistent policy enforcement for all data consumers – from
BI analysts to data scientists.

CONSISTENT DATA PRIVACY CONTROLS

Immuta’s powerful data masking and anonymization capabilities help data teams
scale access protection with techniques that are backed by math and centrally
enforced across cloud data platforms, without copying or moving data.

UNIFIED DATA ACCESS AUDIT LOGS

Immuta monitors and logs data access across your cloud data ecosystem. Track
requests and access to data, policy changes, how data is being used, and more –
all from a centralized policy tier.

Featured Case Study


HOW ONE OF THE WORLD'S TOP STREAMING SERVICES SCALED DATA ACCESS

Download

> By incorporating Immuta’s automated governance and privacy capabilities, we
> have enhanced our overall strength and security of the platform. We look
> forward to continued innovation from Immuta to help Aon with our data and
> analytics initiatives.
> 
> Steve Petrevski SVP & General Manager, Data & Analytics Services at AON


FREQUENTLY ASKED QUESTIONS

WHAT ARE ACCESS CONTROLS BY DEFINITION?

Data access controls, by definition, are the processes and techniques
implemented to permit or restrict who can view and/or use data within a specific
environment. For organizations that leverage any type of data, access controls
are fundamental in executing a data security strategy that minimizes risk
without hindering utility.

WHAT ARE THE FOUR MAIN ACCESS CONTROL TYPES?

The four main types of access control are discretionary, mandatory, role-based,
and attribute-based. With discretionary access control (DAC), users create rules
to determine who has access to the data through access control lists (ACLs) and
capabilities tables. Mandatory access control (MAC), often regarded as the
strictest type, takes a hierarchical approach to data access in which a systems
admin regulates data access based on varying security clearance levels, and is
widely used in the government and military. Role-based access control (RBAC)
depends on a systems admin to grant access permissions based on a user’s role
within the organization. Unlike RBAC, attribute-based access control (ABAC),
enables data access based on attributes of the user, object, action, and
environment, creating a dynamic system that vastly reduces the number of
policies needed to enforce access control and avoids the need to create new
roles for all changes to a data environment.

IS RBAC CONSIDERED GRANULAR ACCESS CONTROL?

No, RBAC is not considered granular access control; instead, it is an example of
coarse-grained access control. This is because RBAC makes access decisions based
solely on users’ roles, which are generally broadly defined and static. As a
result, access decisions are relatively binary and lack nuance. On the other
hand, granular access control, such as ABAC, take a multi-dimensional approach
to permitting or restricting access to data. This approach makes context-aware
decisions based on factors related to the user, as well as the data object,
environment, and intended action. Therefore, granular access control is a more
flexible and dynamic methodology.

WHAT IS THE DIFFERENCE BETWEEN ROLE-BASED ACCESS CONTROL VS. MANDATORY ACCESS
CONTROL?

Role-based access control (RBAC) grants data access to users based on their role
or function within the organization. This type of access control works for small
organizations with few data sets and data users, but as roles, users, and rules
change, data teams are forced to create new roles to accommodate organizational
evolutions. As a result, a system may contain hundreds or thousands of roles
that are difficult to manage and scale as organizations grow, which can lead to
increased risk of data leaks and breaches.

Mandatory Access Control (MAC) is considered the strictest access control model.
Primarily used by the government and military, this form of access control takes
a hierarchical approach to regulating data access. Security labels, denoting
both classification and category, are placed on the available resources by
system admins and cannot be changed by any other users. The same labels are
attributed to the system’s users, so only those with the proper security
credentials are able to access certain resources within the system.

WHAT IS THE PURPOSE OF DATA GOVERNANCE?

The purpose of data governance is to ensure the right frameworks and processes
are in place to manage data security and access throughout the entire ecosystem.
Data governance systematically determines the standards, policies, and people
involved in keeping data secure and accurate, so that users enterprise-wide are
able to access, use, and trust data without putting the information or the
organization at risk.


ADDITIONAL MATERIALS

White Paper

AUTOMATED DATA ACCESS CONTROL 101


Report

ORGANISATIONAL SHIFTS TO BECOMING MORE DATA-DRIVEN NOW REQUIRE A DYNAMIC DATA
GOVERNANCE, ACCESS AND CONTROL STRATEGY


White Paper

RBAC VS. ABAC: FUTURE-PROOFING ACCESS CONTROL METHODS


HAVE 29 MINUTES?

Let us show you how Immuta can transform the way you govern and share your
sensitive data.

Request A Demo Product Tour

 * About
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Get Immuta News

SOLUTIONS

BY USE CASE

 * Data Access
 * Data Sharing
 * Data Regulations
 * Data Modernization
 * Data Security
 * Data Privacy

BY INDUSTRY

 * Financial Services
 * Healthcare & Life Sciences
 * Public Sector

PRODUCT

PRODUCT

 * Platform Overview
 * Discover
 * Secure
 * Detect

GET STARTED

 * Immuta Architecture
 * Product Tour
 * SaaS Deployment
 * Free Trial
 * 

DATA PLATFORM INTEGRATIONS



 * All Integrations
 * Snowflake
 * Databricks
 * Starburst
 * Azure Synapse
 * Google BigQuery
 * Amazon Redshift

RESOURCES



 * Blog
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 * Webinars
 * Documentation (SaaS)
 * Documentation (Self-Managed)
 * Training Videos
 * FAQs
 * Customer Support

© 2023 Immuta Inc. All rights reserved.

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