Tag Archives: Cyber Security

2022 Canadian Centre for Cyber Security Assessment Summary report available with 12 additional services

Post Syndicated from Naranjan Goklani original https://aws.amazon.com/blogs/security/2022-canadian-centre-for-cyber-security-assessment-summary-report-available-with-12-additional-services/

We are pleased to announce the availability of the 2022 Canadian Centre for Cyber Security (CCCS) assessment summary report for Amazon Web Services (AWS). This assessment will bring the total to 132 AWS services and features assessed in the Canada (Central) AWS Region, including 12 additional AWS services. A copy of the summary assessment report is available for review and download on demand through AWS Artifact.

The full list of services in scope for the CCCS assessment is available on the AWS Services in Scope page. The 12 new services are:

The CCCS is Canada’s authoritative source of cyber security expert guidance for the Canadian government, industry, and the general public. Public and commercial sector organizations across Canada rely on CCCS’s rigorous Cloud Service Provider (CSP) IT Security (ITS) assessment in their decisions to use cloud services. In addition, CCCS’s ITS assessment process is a mandatory requirement for AWS to provide cloud services to Canadian federal government departments and agencies.

The CCCS Cloud Service Provider Information Technology Security Assessment Process determines if the Government of Canada (GC) ITS requirements for the CCCS Medium cloud security profile (previously referred to as GC’s Protected B/Medium Integrity/Medium Availability [PBMM] profile) are met as described in ITSG-33 (IT security risk management: A lifecycle approach). As of November 2022, 132 AWS services in the Canada (Central) Region have been assessed by the CCCS and meet the requirements for the CCCS Medium cloud security profile. Meeting the CCCS Medium cloud security profile is required to host workloads that are classified up to and including the medium categorization. On a periodic basis, CCCS assesses new or previously unassessed services and reassesses the AWS services that were previously assessed to verify that they continue to meet the GC’s requirements. CCCS prioritizes the assessment of new AWS services based on their availability in Canada, and on customer demand for the AWS services. The full list of AWS services that have been assessed by CCCS is available on our Services in Scope for CCCS Assessment page.

To learn more about the CCCS assessment or our other compliance and security programs, visit AWS Compliance Programs. As always, we value your feedback and questions; you can reach out to the AWS Compliance team through the Contact Us page.

If you have feedback about this post, submit comments in the Comments section below. Want more AWS Security news? Follow us on Twitter.

Naranjan Goklani

Naranjan Goklani

Naranjan is a Security Audit Manager at AWS, based in Toronto (Canada). He leads audits, attestations, certifications, and assessments across North America and Europe. Naranjan has more than 13 years of experience in risk management, security assurance, and performing technology audits. Naranjan previously worked in one of the Big 4 accounting firms and supported clients from the financial services, technology, retail, ecommerce, and utilities industries.

Canadian Centre for Cyber Security Assessment Summary report now available in AWS Artifact

Post Syndicated from Rob Samuel original https://aws.amazon.com/blogs/security/canadian-centre-for-cyber-security-assessment-summary-report-now-available-in-aws-artifact/

French version

At Amazon Web Services (AWS), we are committed to providing continued assurance to our customers through assessments, certifications, and attestations that support the adoption of AWS services. We are pleased to announce the availability of the Canadian Centre for Cyber Security (CCCS) assessment summary report for AWS, which you can view and download on demand through AWS Artifact.

The CCCS is Canada’s authoritative source of cyber security expert guidance for the Canadian government, industry, and the general public. Public and commercial sector organizations across Canada rely on CCCS’s rigorous Cloud Service Provider (CSP) IT Security (ITS) assessment in their decision to use CSP services. In addition, CCCS’s ITS assessment process is a mandatory requirement for AWS to provide cloud services to Canadian federal government departments and agencies.

The CCCS Cloud Service Provider Information Technology Security Assessment Process determines if the Government of Canada (GC) ITS requirements for the CCCS Medium Cloud Security Profile (previously referred to as GC’s PROTECTED B/Medium Integrity/Medium Availability [PBMM] profile) are met as described in ITSG-33 (IT Security Risk Management: A Lifecycle Approach, Annex 3 – Security Control Catalogue). As of September, 2021, 120 AWS services in the Canada (Central) Region have been assessed by the CCCS, and meet the requirements for medium cloud security profile. Meeting the medium cloud security profile is required to host workloads that are classified up to and including medium categorization. On a periodic basis, CCCS assesses new or previously unassessed services and re-assesses the AWS services that were previously assessed to verify that they continue to meet the GC’s requirements. CCCS prioritizes the assessment of new AWS services based on their availability in Canada, and customer demand for the AWS services. The full list of AWS services that have been assessed by CCCS is available on our Services in Scope by Compliance Program page.

To learn more about the CCCS assessment or our other compliance and security programs, visit AWS Compliance Programs. If you have questions about this blog post, please start a new thread on the AWS Artifact forum or contact AWS Support.

If you have feedback about this post, submit comments in the Comments section below. Want more AWS Security news? Follow us on Twitter.

Rob Samuel

Rob Samuel

Rob Samuel is a Principal technical leader for AWS Security Assurance. He partners with teams across AWS to translate data protection principles into technical requirements, aligns technical direction and priorities, orchestrates new technical solutions, helps integrate security and privacy solutions into AWS services and features, and addresses cross-cutting security and privacy requirements and expectations. Rob has more than 20 years of experience in the technology industry, and has previously held leadership roles, including Head of Security Assurance for AWS Canada, Chief Information Security Officer (CISO) for the Province of Nova Scotia, various security leadership roles as a public servant, and served as a Communications and Electronics Engineering Officer in the Canadian Armed Forces.

Naranjan Goklani

Naranjan Goklani

Naranjan Goklani is a Security Audit Manager at AWS, based in Toronto (Canada). He leads audits, attestations, certifications, and assessments across North America and Europe. Naranjan has more than 12 years of experience in risk management, security assurance, and performing technology audits. Naranjan previously worked in one of the Big 4 accounting firms and supported clients from the retail, ecommerce, and utilities industries.

Brian Mycroft

Brian Mycroft

Brian Mycroft is a Chief Technologist at AWS, based in Ottawa (Canada), specializing in national security, intelligence, and the Canadian federal government. Brian is the lead architect of the AWS Secure Environment Accelerator (ASEA) and focuses on removing public sector barriers to cloud adoption.

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Rapport sommaire de l’évaluation du Centre canadien pour la cybersécurité disponible sur AWS Artifact

Par Robert Samuel, Naranjan Goklani et Brian Mycroft
Amazon Web Services (AWS) s’engage à fournir à ses clients une assurance continue à travers des évaluations, des certifications et des attestations qui appuient l’adoption des services proposés par AWS. Nous avons le plaisir d’annoncer la mise à disposition du rapport sommaire de l’évaluation du Centre canadien pour la cybersécurité (CCCS) pour AWS, que vous pouvez dès à présent consulter et télécharger à la demande sur AWS Artifact.

Le CCC est l’autorité canadienne qui met son expertise en matière de cybersécurité au service du gouvernement canadien, du secteur privé et du grand public. Les organisations des secteurs public et privé établies au Canada dépendent de la rigoureuse évaluation de la sécurité des technologies de l’information s’appliquant aux fournisseurs de services infonuagiques conduite par le CCC pour leur décision relative à l’utilisation de ces services infonuagiques. De plus, le processus d’évaluation de la sécurité des technologies de l’information est une étape obligatoire pour permettre à AWS de fournir des services infonuagiques aux agences et aux ministères du gouvernement fédéral canadien.

Le Processus d’évaluation de la sécurité des technologies de l’information s’appliquant aux fournisseurs de services infonuagiques détermine si les exigences en matière de technologie de l’information du Gouvernement du Canada (GC) pour le profil de contrôle de la sécurité infonuagique moyen (précédemment connu sous le nom de Protégé B/Intégrité moyenne/Disponibilité moyenne) sont satisfaites conformément à l’ITSG-33 (Gestion des risques liés à la sécurité des TI : Une méthode axée sur le cycle de vie, Annexe 3 – Catalogue des contrôles de sécurité). En date de septembre 2021, 120 services AWS de la région (centrale) du Canada ont été évalués par le CCC et satisfont aux exigences du profil de sécurité moyen du nuage. Satisfaire les exigences du niveau moyen du nuage est nécessaire pour héberger des applications classées jusqu’à la catégorie moyenne incluse. Le CCC évalue périodiquement les nouveaux services, ou les services qui n’ont pas encore été évalués, et réévalue les services AWS précédemment évalués pour s’assurer qu’ils continuent de satisfaire aux exigences du Gouvernement du Canada. Le CCC priorise l’évaluation des nouveaux services AWS selon leur disponibilité au Canada et en fonction de la demande des clients pour les services AWS. La liste complète des services AWS évalués par le CCC est consultable sur notre page Services AWS concernés par le programme de conformité.

Pour en savoir plus sur l’évaluation du CCC ainsi que sur nos autres programmes de conformité et de sécurité, visitez la page Programmes de conformité AWS. Comme toujours, nous accordons beaucoup de valeur à vos commentaires et à vos questions; vous pouvez communiquer avec l’équipe Conformité AWS via la page Communiquer avec nous.

Si vous avez des commentaires sur cette publication, n’hésitez pas à les partager dans la section Commentaires ci-dessous. Vous souhaitez en savoir plus sur AWS Security? Retrouvez-nous sur Twitter.

Biographies des auteurs :

Rob Samuel : Rob Samuel est responsable technique principal d’AWS Security Assurance. Il collabore avec les équipes AWS pour traduire les principes de protection des données en recommandations techniques, aligne la direction technique et les priorités, met en œuvre les nouvelles solutions techniques, aide à intégrer les solutions de sécurité et de confidentialité aux services et fonctionnalités proposés par AWS et répond aux exigences et aux attentes en matière de confidentialité et de sécurité transversale. Rob a plus de 20 ans d’expérience dans le secteur de la technologie et a déjà occupé des fonctions dirigeantes, comme directeur de l’assurance sécurité pour AWS Canada, responsable de la cybersécurité et des systèmes d’information (RSSI) pour la province de la Nouvelle-Écosse, divers postes à responsabilités en tant que fonctionnaire et a servi dans les Forces armées canadiennes en tant qu’officier du génie électronique et des communications.

Naranjan Goklani : Naranjan Goklani est responsable des audits de sécurité pour AWS, il est basé à Toronto (Canada). Il est responsable des audits, des attestations, des certifications et des évaluations pour l’Amérique du Nord et l’Europe. Naranjan a plus de 12 ans d’expérience dans la gestion des risques, l’assurance de la sécurité et la réalisation d’audits de technologie. Naranjan a exercé dans l’une des quatre plus grandes sociétés de comptabilité et accompagné des clients des industries de la distribution, du commerce en ligne et des services publics.

Brian Mycroft : Brian Mycroft est technologue en chef pour AWS, il est basé à Ottawa (Canada) et se spécialise dans la sécurité nationale, le renseignement et le gouvernement fédéral du Canada. Brian est l’architecte principal de l’AWS Secure Environment Accelerator (ASEA) et s’intéresse principalement à la suppression des barrières à l’adoption du nuage pour le secteur public.

How to build a multi-Region AWS Security Hub analytic pipeline and visualize Security Hub data

Post Syndicated from David Hessler original https://aws.amazon.com/blogs/security/how-to-build-a-multi-region-aws-security-hub-analytic-pipeline/

AWS Security Hub is a service that gives you aggregated visibility into your security and compliance posture across multiple Amazon Web Services (AWS) accounts. By joining Security Hub with Amazon QuickSight—a scalable, serverless, embeddable, machine learning-powered business intelligence (BI) service built for the cloud—your senior leaders and decision-makers can use dashboards to empower data-driven decisions and facilitate a secure configuration of AWS resources

In organizations that operate at cloud scale, being able to summarize and perform trend analysis is key to identifying and remediating problems early, which leads to the overall success of the organization. Additionally, QuickSight dashboards can be embedded in dashboard and reporting platforms that leaders are already familiar with, making the dashboards even more user friendly.

With the solution in this blog post, you can provide leaders with cross-AWS Region views of data to enable decision-makers to assess the health and status of an organizations IT infrastructure at a glance. You also can enrich the dashboard with data sources not available to Security Hub. Finally, this solution allows you the flexibility to have multiple administrator accounts across several AWS organizations and combine them into a single view.

In this blog post, you will learn how to build an analytics pipeline of your Security Hub findings, summarize the data with Amazon Athena, and visualize the data via QuickSight using the following steps:

  • Deploy an AWS Cloud Development Kit (AWS CDK) stack that builds the infrastructure you need to get started.
  • Create an Athena view that summarizes the raw findings.
  • Visualize the summary of findings in QuickSight.
  • Secure QuickSight using best practices.

For a high-level discussion without code examples please see Visualize AWS Security Hub Findings using Analytics and Business Intelligence Tools.

Prerequisites

This blog post assumes that you:

  • Have a basic understanding of how to authenticate and access your AWS account.
  • Are able to run commands via a command line prompt on your local machine.
  • Have a basic understanding of Structured Query Language (SQL).

Solution overview

Figure 1 shows the flow of events and a high-level architecture diagram of the solution.

Figure 1. High level architecture diagram

Figure 1. High level architecture diagram

The steps shown in Figure 1 include:

  • Detect
  • Collect
  • Aggregate
  • Transform
  • Analyze
  • Visualize

Detect

AWS offers a number of tools to help detect security findings continuously. These tools fall into three types:

In this blog, you will use two built-in security standards of Security Hub—CIS AWS Foundations Benchmark controls and AWS Foundational Security Best Practices Standard—and a serverless Prowler scanner that acts as a third-party partner product. In cases where AWS Organizations is used, member accounts send these findings to the member account’s Security Hub

Collect

Within a region, security findings are centralized into a single administrator account using Security Hub.

Aggregate

Using the cross-Region aggregation feature within Security Hub, findings within each administrator account can be aggregated and continuously synchronized across multiple regions.

Ingest

Security Hub not only provides a comprehensive view of security alerts and security posture across your AWS accounts, it also acts as a data sink for your security tools. Any tool that can expose data via AWS Security Finding Format (ASFF) can use the BatchImportFindings API action to push data to Security Hub. For more details, see Using custom product integration to send findings to AWS Security Hub and Available AWS service integrations in the Security Hub User Guide.

Transform

Data coming out of Security Hub is exposed via Amazon EventBridge. Unfortunately, it’s not quite in a form that Athena can consume. EventBridge streams data through Amazon Kinesis Data Firehose directly to Amazon Simple Storage Service (Amazon S3). From Amazon S3, you can create an AWS Lambda function that flattens and fixes some of the column names, such as by removing special characters that Athena cannot recognize. The Lambda function then saves the results back to S3. Finally, an AWS Glue crawler dynamically discovers the schema of the data and creates or updates an Athena table.

Analyze

You will aggregate the raw findings data and create metrics along various grains or pivots by creating a simple yet meaningful Athena view. With Athena, you also can use views to join the data with other data sources, such as your organization’s configuration management database (CMDB) or IT service management (ITSM) system.

Visualize

Using QuickSight, you will register the data sources and build visualizations that can be used to identify areas where security can be improved or reduce risk. This post shares steps detailing how to do this in the Build QuickSight visualizations section below.

Use AWS CDK to deploy the infrastructure

In order to analyze and visualize security related findings, you will need to deploy the infrastructure required to detect, ingest, and transform those findings. You will use an AWS CDK stack to deploy the infrastructure to your account. To begin, review the prerequisites to make sure you have everything you need to deploy the CDK stack. Once the CDK stack is deployed, you can deploy the actual infrastructure. After the infrastructure has been deployed, you will build an Athena view and a QuickSight visualization.

Install the software to deploy the solution

For the solution in this blog post, you must have the following tools installed:

  • The solution in this blog post is written in Python, so you must install Python in addition to CDK. Instructions on how to install Python version 3.X can be found on their downloads page.
  • AWS CDK requires node.js. Directions on how to install node.js can found on the node.js downloads page.
  • This CDK application uses Docker for local bundling. Directions for using Docker can be found at Get Docker.
  • AWS CDK—a software-development framework for defining cloud infrastructure in code and provisioning it through AWS CloudFormation. To install CDK, visit AWS CDK Toolkit page.

To confirm you have the everything you need

  1. Confirm you are running version 1.108.0 or later of CDK.

    $ cdk ‐‐version

  2. Download the code from github by cloning the repository. cd into the clone directory.

    $ git clone [email protected]:aws-samples/aws-security-hub-analytic-pipeline.git

    $ cd aws-security-hub-analytic-pipeline

  3. Manually create a virtualenv.

    $ python3 -m venv .venv

  4. After the initialization process completes and the virtualenv is created, you can use the following step to activate your virtualenv.

    $ source .venv/bin/activate

  5. If you’re using a Windows platform, use the following command to activate virtualenv:

    % .venv/Scripts/activate.bat

  6. Once the virtualenv is activated, you can install the required dependencies.

    $ pip install -r requirements.txt

Use AWS CDK to deploy the infrastructure into your account

The following steps use AWS CDK to deploy the infrastructure. This infrastructure includes the various scanners, Security Hub, EventBridge, and Kinesis Firehose streams. When complete, the raw Security Hub data will already be stored in an S3 bucket.

To deploy the infrastructure using AWS CDK

  1. If you’ve never used AWS CDK in the account you’re using or if you’ve never used CDK in the us-east-1, us-east-2, or us-west-1 Regions, you must bootstrap the regions via the command prompt.

    $ cdk bootstrap

  2. At this point, you can deploy the stack to your default AWS account via the command prompt.

    $ cdk deploy –all

  3. While cdk deploy is running, you will see the output in Figure 2. This is a prompt to ensure you’re aware that you’re making a security-relevant change and creating AWS Identity and Access Management (IAM) roles. Enter y when prompted to continue the deployment process:

    Figure 2. CDK approval prompt to create IAM roles

    Figure 2. CDK approval prompt to create IAM roles

  4. Confirm cdk deploy is finished. When the deployment is finished, you should see three stack ARNs. It will look similar to Figure 3.

    Figure 3. Final output of CDK deploy

    Figure 3. Final output of CDK deploy

As a result of the deployed CDK code, Security Hub and the Prowler scanner will automatically scan your account, process the data, and send it to S3. While it takes less than an hour for some data to be processed and searchable in Athena, we recommend waiting 24 hours before proceeding to the next steps, to ensure enough data is processed to generate useful visualizations. This is because the remaining steps roll-up findings by the hour. Also, it takes several minutes to get initial results from the Security Hub standards and up to an hour to get initial results from Prowler.

Build an Athena view

Now that you’re deployed the infrastructure to detect, ingest, and transform security related findings, it’s time to use an Athena view to accomplish the analyze portion of the solution. The following view aggregates the number of findings for a given day. Athena views can be used to summarize data or enrich it with data from other sources. Use the following steps to build a simple example view. For more information on creating Athena views, see Working with Views.

To build an Athena view

  1. Open the AWS Management Console and ensure that the Region is set to us-east-1 (Northern Virginia).
  2. Navigate to the Athena service. If you’ve never used this service, choose Get Started to navigate to the Query Editor screen. Otherwise, the Query Editor screen is the default view.
  3. If you’re new to Athena, you also need to set up a query result location.
    1. Choose Settings in the top right of the Query Editor screen to open the settings panel.
    2. Choose Select to select a query result location.

      Figure 4. Athena settings

      Figure 4. Athena settings

    3. Locate an S3 bucket in the list that starts with analyticsink-queryresults and choose the right-arrow icon.
    4. Choose Select to select a query results bucket.

      Figure 5. Select S3 location confirmation

      Figure 5. Select S3 location confirmation

  4. Select AwsDataCatalog as the Data source and security_hub_database as the Database. The Query Editor screen should look like Figure 6.

    Figure 6. Empty query editor

    Figure 6. Empty query editor

  5. Copy and paste the following SQL in the query window:

    CREATE OR REPLACE VIEW “security-hub-rolled-up-finding” AS
    SELECT

    “date_format”(“from_iso8601_timestamp”(updatedat), ‘%Y-%m-%d %H:00’) year_month_day
    , region
    , compliance_status
    , workflowstate
    , severity_label
    , COUNT(DISTINCT title) as cnt
    FROM
    security_hub_database.“security-hub-crawled-findings”
    GROUP BY “date_format”(“from_iso8601_timestamp”(updatedat), ‘%Y-%m-%d %H:00’), compliance_status, workflowstate, severity_label, region

  6. Choose the Run query button.

If everything is correct, you should see Query successful in the Results, as shown in Figure 7.

Figure 7. Creating an Athena view

Figure 7. Creating an Athena view

Build QuickSight visualizations

Now that you’ve deployed the infrastructure to detect, ingest, and transform security related findings, and have created an Athena view to analyze those findings, it’s time to use QuickSight to visualize the findings. To use QuickSight, you must first grant QuickSight permissions to access S3 and Athena. Next you create a QuickSight data source. Third, you will create a QuickSight analysis. (Optional) When complete, you can publish the analysis.

You will build a simple visualization that shows counts of findings over time separated by severity, though it’s also possible to use QuickSight to tell rich and compelling visual stories.

In order to use QuickSight, you need to sign up for a QuickSight subscription. Steps to do so can be found in Signing Up for an Amazon QuickSight Subscription.

The first thing you need to do once logged in to QuickSight is create the data source. If this is your first time logging in to the service, you will be greeted with an initial QuickSight page as shown in Figure 8.

Figure 8. Initial QuickSight page

Figure 8. Initial QuickSight page

Grant QuickSight access to S3 and Athena

While creating the Athena data source will enable QuickSight to query data from Athena, you also need to enable QuickSight to read from S3.

To grant QuickSight access to S3 and Athena

  1. Inside QuickSight, select your profile name (upper right). Choose Manage QuickSight, and then choose Security & permissions.
  2. Choose Add or remove.
  3. Ensure the checkbox next to Athena is selected.
  4. Ensure the checkbox next to Amazon S3 is selected.
  5. Choose Details and then choose Select S3 Buckets.
  6. Locate an S3 bucket in the list that starts with analyticsink-bucket and ensure the checkbox is selected.
    Figure 9. Example permissions

    Figure 9. Example permissions

  7. Choose Finish to save changes.

Create a QuickSight dataset

Once you’ve given QuickSight the necessary permissions, you can create a new dataset.

To create a QuickSight dataset

  1. Choose Datasets from the navigation pane at left. Then choose New Dataset.

    Figure 10. Dataset page

    Figure 10. Dataset page

  2. To create a new Athena connection profile, use the following steps:
    1. In the FROM NEW DATA SOURCES section, choose the Athena data source card.
    2. For Data source name, enter a descriptive name. For example: security-hub-rolled-up-finding.
    3. For Athena workgroup choose [ primary ].
    4. Choose Validate connection to test the connection. This also confirms encryption at rest.
    5. Choose Create data source.
  3. On the Choose your table screen, select:
    Catalog: AwsDataCatalog
    Database: security_hub_database
    Table: security-hub-rolled-up-finding
  4. Finally, select the Import to SPICE for quicker analytics option and choose Visualize.

Once you’re finished, the page to create your first analysis will automatically open. Figure 11 shows an example of the page.

Figure 11. Create an analysis page

Figure 11. Create an analysis page

Create a QuickSight analysis

A QuickSight analysis is more than just a visualization—it helps you uncover hidden insights and trends in your data, identify key drivers, and forecast business metrics. You can create rich analytic experiences with QuickSight. For more information, visit Working with Visuals in the QuickSight User Guide.

For simplicity, you’ll build a visualization that summarizes findings categories by severity and aggregated by hour.

To create a QuickSight analysis

  1. Choose Line Chart from the Visual Types.

    Figure 12. Visual types

    Figure 12. Visual types

  2. Select Fields. Figure 13 shows what your field wells should look like at the end of this step.
    1. Locate the year_month_day_hour field in the field list and drag it over to the X axis field well.
    2. Locate the cnt field in the field list and drag it over to the Value field well.
    3. Locate the severity_label field in the field list and drag it over to Color field well.

      Figure 13. Field wells

      Figure 13. Field wells

  3. Add Filters.
    1. Select Filter in the left navigation panel.

      Figure 14. Filters panel

      Figure 14. Filters panel

    2. Choose Create one… and select the compliance_status field.
    3. Expand the filter and clear NOT_AVAILABLE and PASSED (Note: depending on your data, you might not have all of these statuses).
    4. Choose Apply to apply the filter.

      Figure 15. Filtering out findings that are not failing

      Figure 15. Filtering out findings that are not failing

You should now see a visualization that looks like Figure 16, which shows a summary count of events and their severity.

Figure 16. Example visualization (note: this visualization has five days’ worth of data.)

Figure 16. Example visualization (note: this visualization has five days’ worth of data.)

Publish a QuickSight analysis dashboard (optional)

Publishing a dashboard is a great way to share reports with leaders. This two-step process allows you to share visualizations as a dashboard.

To publish a QuickSight analysis

  1. Choose Share on the application bar, then choose Publish dashboard.
  2. Select Publish new dashboard as, and then enter a dashboard name, such as Security Hub Findings by Severity.

You can also embed dashboards into web applications. This requires using the AWS SDK or through the AWS Command Line Interface (AWS CLI). For more information, see Embedding QuickSight Data Dashboards for Everyone.

Encouraged security posture in QuickSight

QuickSight has a number of security features. While the AWS Security section of the QuickSight User Guide goes into detail, here’s a summary of the standards that apply to this specific scenario. For more details see AWS security in Amazon QuickSight within the QuickSight user guide.

Clean up (optional)

When done, you can clean up QuickSight by removing the Athena view and the CDK stack. Follow the detailed steps below to clean up everything.

To clean up QuickSight

  1. Open the console and choose Datasets in the left navigation pane.
  2. Select security-hub-rolled-up-finding then choose Delete dataset.
  3. Confirm dataset deletion by choosing Delete.
  4. Choose Analyses from the left navigation pane.
  5. Choose the menu in the lower right corner of the security-hub-rolled-up-finding card.

    Figure 17. Example analysis card

    Figure 17. Example analysis card

  6. Select Delete and confirm Delete.

To remove the Athena view

  1. Paste the following SQL in the query window:

    DROP VIEW “security-hub-rolled-up-finding”

  2. Choose the Run query button.

To remove the CDK stack

  1. Run the following command in your terminal:

    cdk destroy

    Note: If you experience errors, you might need to reactivate your Python virtual environment by completing steps 3–5 of Use AWS CDK to deploy the infrastructure.

Conclusion

In this blog, you used Security Hub and QuickSight to deploy a scalable analytic pipeline for your security tools. Security Hub allowed you to join and collect security findings from multiple sources. With QuickSight, you summarized data for your senior leaders and decision-makers to give them the right data in real-time.

You ensured that your sensitive data remained protected by explicitly granting QuickSight the ability to read from a specific S3 bucket. By authorizing access only to the data sources needed to visualize your data, you ensure least privilege access. QuickSight supports many other AWS data sources, including Amazon RDS, Amazon Redshift, Lake Formation, and Amazon OpenSearch Service (successor to Amazon Elasticsearch Service). Because the data doesn’t live inside an Amazon Virtual Private Cloud (Amazon VPC), you didn’t need to grant access to any specific VPCs. Limiting access to VPCs is another great way to improve the security of your environment.

 
If you have feedback about this post, submit comments in the Comments section below. If you have questions about this post, start a new thread on the Security Hub forum. To start your 30-day free trial of Security Hub, visit AWS Security Hub.

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David Hessler

David Hessler

David is a senior cloud consultant with AWS Professional Services. He has over a decade of technical experience helping customers tackle their most challenging technical problems and providing tailor-made solutions using AWS services. He is passionate about DevOps, security automation, and how the two work together to allow customers to focus on what matters: their mission.