Tag: Amazon QuickSight

Generative artificial intelligence (AI) is now a household topic and popular across various public applications. Users enter prompts to get answers to questions, write code, create images, improve their writing, and synthesize information. As people become familiar with generative AI, businesses are looking for ways to apply these concepts to their enterprise use cases in […]

In this post, I’ll show how you can export software bills of materials (SBOMs) for your containers by using an AWS native service, Amazon Inspector, and visualize the SBOMs through Amazon QuickSight, providing a single-pane-of-glass view of your organization’s software supply chain. The concept of a bill of materials (BOM) originated in the manufacturing industry […]

Part 3 of a 3-part series Part 1 – Aggregating, searching, and visualizing log data from distributed sources with Amazon Athena and Amazon QuickSight Part 2 – How to visualize Amazon Security Lake findings with Amazon QuickSight This is the final part of a three-part series on visualizing security data using Amazon Security Lake and […]

Part 1 of a 3-part series Part 2 – How to visualize Amazon Security Lake findings with Amazon QuickSight Part 3 – How to share security telemetry per Organizational Unit using Amazon Security Lake and AWS Lake Formation Customers using Amazon Web Services (AWS) can use a range of native and third-party tools to build […]

Part 2 of a 3-part series Part 1 – Aggregating, searching, and visualizing log data from distributed sources with Amazon Athena and Amazon QuickSight Part 3 – How to share security telemetry per Organizational Unit using Amazon Security Lake and AWS Lake Formation In this post, we expand on the earlier blog post Ingest, transform, […]

In this blog post, we show you how to create an Amazon QuickSight dashboard to visualize the policy validation findings from AWS Identity and Access Management (IAM) Access Analyzer. You can use this dashboard to better understand your policies and how to achieve least privilege by periodically validating your IAM roles against IAM best practices. […]

February 21, 2023: We’ve updated the CREATE TABLE DDL to add the new originType field introduced as part of the Automated Sensitive Data Discovery feature of Macie. Amazon Macie is a fully managed data security service that uses machine learning and pattern matching to help you discover and protect sensitive data in Amazon Simple Storage Service (Amazon S3). With […]

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 […]

September 9, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Traditionally, analyzing data logs required you to extract, transform, and load your data before using a number of data warehouse and business intelligence tools to derive business intelligence from that data—on top of maintaining the servers that ran behind these […]

September 9, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. July 20, 2020:This post has been updated to reflect the new Amazon GuardDuty support for exporting findings to an S3 bucket. July 12, 2019: Due to a feature name change, we’ve updated some examples throughout the post. Note: This blog […]