Category: Amazon Security Lake

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 […]

Many customers use Amazon Security Lake to automatically centralize security data from Amazon Web Services (AWS) environments, software as a service (SaaS) providers, on-premises workloads, and cloud sources into a purpose-built data lake in their AWS accounts. With Security Lake, customers can choose between native AWS security analytics tools and partner security information and event […]

This blog post is the second of a two-part series where we show you how to respond to a specific incident by using Amazon Security Lake as the primary data source to accelerate incident response workflow. The workflow is described in the Unintended Data Access in Amazon S3 incident response playbook, published in the AWS […]

As security best practices have evolved over the years, so has the range of security telemetry options. Customers face the challenge of navigating through security-relevant telemetry and log data produced by multiple tools, technologies, and vendors while trying to monitor, detect, respond to, and mitigate new and existing security issues. In this post, we provide […]

September 20, 2024: Updated the incident response life cycle related wording in the first blog of this series, so to better align with the NIST defined terms. This blog post is the first of a two-part series that will demonstrate the value of Amazon Security Lake and how you can use it and other resources to accelerate […]

According to the MITRE ATT&CK framework, lateral movement consists of techniques that threat actors use to enter and control remote systems on a network. In Amazon Web Services (AWS) environments, threat actors equipped with illegitimately obtained credentials could potentially use APIs to interact with infrastructures and services directly, and they might even be able to use […]

Centralize visibility across hybrid environments for streamlined incident response, optimized log retention, and proactive threat detection. Use AI-driven enhancements for automated investigations.

Sept 12, 2024: We’ve updated this post to include recently added Security Lake data sources for Amazon EKS and AWS WAF log files. You can use Amazon Security Lake to simplify log data collection and retention for Amazon Web Services (AWS) and non-AWS data sources. To make sure that you get the most out of […]

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 […]

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 […]