AWS Security Blog
Category: Amazon SageMaker
Generate AI powered insights for Amazon Security Lake using Amazon SageMaker Studio and Amazon Bedrock
In part 1, we discussed how to use Amazon SageMaker Studio to analyze time-series data in Amazon Security Lake to identify critical areas and prioritize efforts to help increase your security posture. Security Lake provides additional visibility into your environment by consolidating and normalizing security data from both AWS and non-AWS sources. Security teams can […]
How to improve your security incident response processes with Jupyter notebooks
Customers face a number of challenges to quickly and effectively respond to a security event. To start, it can be difficult to standardize how to respond to a particular security event, such as an Amazon GuardDuty finding. Additionally, silos can form with reliance on one security analyst who is designated to perform certain tasks, such […]
7 ways to improve security of your machine learning workflows
In this post, you will learn how to use familiar security controls to build more secure machine learning (ML) workflows. The ideal audience for this post includes data scientists who want to learn basic ways to improve security of their ML workflows, as well as security engineers who want to address threats specific to an […]
Mitigate data leakage through the use of AppStream 2.0 and end-to-end auditing
Customers want to use AWS services to operate on their most sensitive data, but they want to make sure that only the right people have access to that data. Even when the right people are accessing data, customers want to account for what actions those users took while accessing the data. In this post, we […]
Secure deployment of Amazon SageMaker resources
Amazon SageMaker, like other services in Amazon Web Services (AWS), includes security-related parameters and configurations that you can use to improve the security posture of resources as you deploy them. However, many of these security-related parameters are optional, allowing you to deploy resources without them. While this might be acceptable in the initial exploration stage, […]