Today, I’m happy to announce the general availability of data lineage in Amazon DataZone, following its preview release in June 2024. This feature is also extended as part of the catalog capabilities in the next generation of Amazon SageMaker, a unified platform for data, analytics, and AI. Traditionally, business analysts have relied on manual documentation or personal connections to validate data origins, leading to inconsistent and time-consuming processes. Data engineers have struggled to evaluate the impact of changes to data assets, especially as self-service analytics adoption increases. Additionally, data governance teams have faced difficulties in enforcing practices and responding to auditor queries about data movement. Data lineage in Amazon DataZone addresses the challenges faced by organizations striving to remain competitive…
Tag: Esra Kayabali
Introducing Amazon GuardDuty Extended Threat Detection: AI/ML attack sequence identification for enhanced cloud security
Today, I’m happy to introduce advanced AI/ML threat detection capabilities in Amazon GuardDuty. This new feature uses the extensive cloud visibility and scale of AWS to provide improved threat detection for your applications, workloads, and data. GuardDuty Extended Threat Detection employs sophisticated AI/ML to identify both known and previously unknown attack sequences, offering a more comprehensive and proactive approach to cloud security. This enhancement addresses the growing complexity of modern cloud environments and the evolving landscape of security threats, simplifying threat detection and response. Many organizations face challenges in efficiently analyzing and responding to the high volume of security events generated across their cloud environments. With the increasing frequency and sophistication of security threats, it has become more challenging to…
AWS Clean Rooms now supports multiple clouds and data sources
Today, we are announcing support for Snowflake and Amazon Athena as new sources for AWS Clean Rooms data collaborations. AWS Clean Rooms helps you and your partners more seamlessly and securely analyze your collective datasets without sharing or copying one another’s underlying data. This enhancement helps you collaborate with datasets stored in Snowflake or those queryable through Athena features, such as AWS Lake Formation permissions or AWS Glue Data Catalog views, without moving or revealing the source data. You often need to collaborate with partners to analyze datasets to get insights for research and development, investments, or marketing and advertising campaigns. In some cases, your partners’ datasets are stored or managed outside of Amazon Simple Storage Service (Amazon S3), and…
Simplify governance with declarative policies
Today, I am happy to announce declarative policies, a new capability that helps you declare and enforce desired configuration for a given AWS Service at scale across your organization. It is common for customers to create standards within their organizations for how cloud resources should be configured. For example, they might require blocking public access for Amazon EBS snapshots. They want these standards to be defined once centrally and enforced across all their accounts, including those that join the organization in the future. Additionally, whenever a cloud operator attempts to configure a resource in a way that does not meet the standard, they want that operator to receive a useful, actionable error message that explains how to remediate the configuration.…