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Media Services
Amazon Elastic TranscoderEasy-to-use scalable media transcoding
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AWS Elemental MediaTailorVideo personalization and monetization
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AWS Deadline CloudAWS Deadline Cloud: Cloud Render Management
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AWS Thinkbox KrakatoaAWS Thinkbox Krakatoa: Render production-grade volumetrics
AWS Thinkbox SequoiaAWS Thinkbox Sequoia: Point cloud data geometry
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Networking & Content Delivery
Amazon VPCIsolated cloud resources
Amazon VPC LatticeSimplify service-to-service connectivity, security, and
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Amazon API GatewayBuild, deploy, and manage APIs
Amazon CloudFrontGlobal content delivery network
Amazon Route 53Scalable domain name system (DNS)
AWS App MeshMonitor and control microservices
AWS Cloud MapService discovery for cloud resources
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AWS Private 5GEasily deploy, manage, and scale a private cellular network
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AWS Blog Home Blogs Editions
AWS NEWS BLOG
AWS ANALYTICS SERVICES STREAMLINE USER ACCESS TO DATA, PERMISSIONS SETTING, AND
AUDITING
by Sébastien Stormacq | on 29 MAY 2024 | in Analytics, Announcements, AWS IAM
Identity Center, Launch, News, Security, Identity, & Compliance | Permalink |
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I am pleased to announce a new use case based on trusted identity propagation, a
recently introduced capability of AWS IAM Identity Center.
Tableau, a commonly used business intelligence (BI) application, can now
propagate end-user identity down to Amazon Redshift. This has a triple benefit.
It simplifies the sign-in experience for end users. It allows data owners to
define access based on real end-user identity. It allows auditors to verify data
access by users.
Trusted identity propagation allows applications that consume data (such as
Tableau, Amazon QuickSight, Amazon Redshift Query Editor, Amazon EMR Studio, and
others) to propagate the user’s identity and group memberships to the services
that store and manage access to the data, such as Amazon Redshift, Amazon
Athena, Amazon Simple Storage Service (Amazon S3), Amazon EMR, and others.
Trusted identity propagation is a capability of IAM Identity Center that
improves the sign-in experience across multiple analytics applications,
simplifies data access management, and simplifies audit. End users benefit from
single sign-on and do not have to specify the IAM roles they want to assume to
connect to the system.
Before diving into more details, let’s agree on terminology.
I use the term “identity providers” to refer to the systems that hold user
identities and group memberships. These are the systems that prompt the user for
credentials and perform the authentication. For example, Azure Directory, Okta,
Ping Identity, and more. Check the full list of identity providers we support.
I use the term “user-facing applications” to designate the applications that
consume data, such as Tableau, Microsoft PowerBI, QuickSight, Amazon Redshift
Query Editor, and others.
And finally, when I write “downstream services”, I refer to the analytics
engines and storage services that process, store, or manage access to your data:
Amazon Redshift, Athena, S3, EMR, and others.
To understand the benefit of trusted identity propagation, let’s briefly talk
about how data access was granted until today. When a user-facing application
accesses data from a downstream service, either the upstream service uses
generic credentials (such as “tableau_user“) or assumes an IAM role to
authenticate against the downstream service. This is the source of two
challenges.
First, it makes it difficult for the downstream service administrator to define
access policies that are fine-tuned for the actual user making the request. As
seen from the downstream service, all requests originate from that common user
or IAM role. If Jeff and Jane are both mapped to the BusinessAnalytics IAM role,
then it is not possible to give them different levels of access, for example,
readonly and read-write. Furthermore, if Jeff is also in the Finance group, he
needs to choose a role in which to operate; he cannot access data from both
groups in the same session.
Secondly, the task of associating a data-access event to an end user involves
some undifferentiated heavy lifting. If the request originates from an IAM role
called BusinessAnalytics, then additional work is required to figure out which
user was behind that action.
Well, this particular example might look very simple, but in real life,
organizations have hundreds of users and thousands of groups to match to
hundreds of datasets. There was an opportunity for us to Invent and Simplify.
Once configured, the new trusted identity propagation provides a technical
mechanism for user-facing applications to access data on behalf of the actual
user behind the keyboard. Knowing the actual user identity offers three main
advantages.
First, it allows downstream service administrators to create and manage access
policies based on actual user identities, the groups they belong to, or a
combination of the two. Downstream service administrators can now assign access
in terms of users, groups, and datasets. This is the way most of our customers
naturally think about access to data—intermediate mappings to IAM roles are no
longer necessary to achieve these patterns.
Second, auditors now have access to the original user identity in system logs
and can verify that policies are implemented correctly and follow all
requirements of the company or industry-level policies.
Third, users of BI applications can benefit from single sign-on between
applications. Your end-users no longer need to understand your company’s AWS
accounts and IAM roles. Instead, they can sign in to EMR Studio (for example)
using their corporate single sign-on that they’re used to for so many other
things they do at work.
How does trusted identity propagation work?
Trusted identity propagation relies on standard mechanisms from our industry:
OAuth2 and JWT. OAuth2 is an open standard for access delegation that allows
users to grant third-party user-facing applications access to data on other
services (downstream services) without exposing their credentials. JWT (JSON Web
Token) is a compact, URL-safe means of representing identities and claims to be
transferred between two parties. JWTs are signed, which means their integrity
and authenticity can be verified.
How to configure trusted identity propagation
Configuring trusted identity propagation requires setup in IAM Identity Center,
at the user-facing application, and at the downstream service because each of
these needs to be told to work with end-user identities. Although the
particulars will be different for each application, they will all follow this
pattern:
1. Configure an identity source in AWS IAM Identity Center. AWS recommends
enabling automated provisioning if your identity provider supports it, as
most do. Automated provisioning works through the SCIM synchronization
standard to synchronize your directory users and groups into IAM Identity
Center. You probably have configured this already if you currently use IAM
Identity Center to federate your workforce into the AWS Management Console.
This is a one-time configuration, and you don’t have to repeat this step for
each user-facing application.
2. Configure your user-facing application to authenticate its users with your
identity provider. For example, configure Tableau to use Okta.
3. Configure the connection between the user-facing application and the
downstream service. For example, configure Tableau to access Amazon
Redshift. In some cases, it requires using the ODBC or JDBC driver for
Redshift.
Then comes the configuration specific to trusted identity propagation. For
example, imagine your organization has developed a user-facing web application
that authenticates the users with your identity provider, and that you want to
access data in AWS on behalf of the current authenticated user. For this use
case, you would create a trusted token issuer in IAM Identity Center. This
powerful new construct gives you a way to map your application’s authenticated
users to the users in your IAM Identity Center directory so that it can make use
of trusted identity propagation. My colleague Becky wrote a blog post to show
you how to develop such an application. This additional configuration is
required only when using third-party applications, such as Tableau, or a
customer-developed application, that authenticate outside of AWS. When using
user-facing applications managed by AWS, such as Amazon QuickSight, no further
setup is required.
Finally, downstream service administrators must configure the access policies
based on the user identity and group memberships. The exact configuration varies
from one downstream service to the other. If the application reads or writes
data in Amazon S3, the data owner may use S3 Access Grants in the Amazon S3
console to grant access for users and groups to prefixes in Amazon S3. If the
application makes queries to an Amazon Redshift data warehouse, the data owner
must configure IAM Identity Center trusted connection in the Amazon Redshift
console and match the audience claim (aud) from the identity provider.
Now that you have a high-level overview of the configuration, let’s dive into
the most important part: the user experience.
The end-user experience
Although the precise experience of the end user will obviously be different for
different applications, in all cases, it will be simpler and more familiar to
workforce users than before. The user interaction will begin with a
redirect-based authentication single sign-on flow that takes the user to their
identity provider, where they can sign in with credentials, multi-factor
authentication, and so on.
Let’s look at the details of how an end user might interact with Okta and
Tableau when trusted identity propagation has been configured.
Here is an illustration of the flow and the main interactions between systems
and services.
Here’s how it goes.
1. As a user, I attempt to sign in to Tableau.
2. Tableau initiates a browser-based flow and redirects to the Okta sign-in page
where I can enter my sign-in credentials. On successful authentication, Okta
issues an authentication token (ID and access token) to Tableau.
3. Tableau initiates a JDBC connection with Amazon Redshift and includes the
access token in the connection request. The Amazon Redshift JDBC driver makes a
call to Amazon Redshift. Because your Amazon Redshift administrator enabled IAM
Identity Center, Amazon Redshift forwards the access token to IAM Identity
Center.
4. IAM Identity Center verifies and validates the access token and exchange the
access token for an Identity Center issued token.
5. Amazon Redshift will resolve the Identity Center token to determine the
corresponding Identity Center user and authorize access to the resource. Upon
successful authorization, I can connect from Tableau to Amazon Redshift.
Once authenticated, I can start to use Tableau as usual.
And when I connect to Amazon Redshift Query Editor, I can observe the
sys_query_history table to check who was the user who made the query. It
correctly reports awsidc:<email address>, the Okta email address I used when I
connected from Tableau.
You can read Tableau’s documentation for more details about this configuration.
Pricing and availability
Trusted identity propagation is provided at no additional cost in the 26 AWS
Regions where AWS IAM Identity Center is available today.
Here are more details about trusted identity propagation and downstream service
configurations.
* Simplify workforce identity management using IAM Identity Center and trusted
token issuers
* Integrate Okta with Amazon Redshift Query Editor V2 using AWS IAM Identity
Center for seamless Single Sign-On
* Simplify access management with Amazon Redshift and AWS Lake Formation for
users in an External Identity Provider
* Bring your workforce identity to Amazon EMR Studio and Athena
* How to develop a user-facing data application with IAM Identity Center and S3
Access Grants (in two parts)
Happy reading!
With trusted identity propagation, you can now configure analytics systems to
propagate the actual user identity, group membership, and attributes to AWS
services such as Amazon Redshift, Amazon Athena, or Amazon S3. It simplifies the
management of access policies on these services. It also allows auditors to
verify your organization’s compliance posture to know the real identity of users
accessing data.
Get started now and configure your Tableau integration with Amazon Redshift.
-- seb
PS: Writing a blog post at AWS is always a team effort, even when you see only
one name under the post title. In this case, I want to thank Eva Mineva, Laura
Reith, and Roberto Migli for their much-appreciated help in understanding the
many subtleties and technical details of trusted identity propagation.
SÉBASTIEN STORMACQ
Seb has been writing code since he first touched a Commodore 64 in the
mid-eighties. He inspires builders to unlock the value of the AWS cloud, using
his secret blend of passion, enthusiasm, customer advocacy, curiosity and
creativity. His interests are software architecture, developer tools and mobile
computing. If you want to sell him something, be sure it has an API. Follow him
on Twitter @sebsto.
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