Amazon Detective adds new capabilities to accelerate and improve your cloud security investigations

Today, Amazon Detective adds four new capabilities to help you save time and strengthen your security operations. First, Detective investigations for IAM help security analysts investigate AWS Identity and Access Management (IAM) objects, such as users and roles, for indicators of compromise (IoCs) to determine potential involvement in known tactics from the MITRE ATT&CK framework. These automatic investigations are available in the Detective section of the AWS Management Console and through a new API to automate your analysis or incident response or to send these findings to other systems, such as AWS Security Hub or your SIEM. Second, Detective finding group summaries uses generative artificial intelligence (AI) to enrich its investigations. It automatically analyzes finding groups and provides insights in…

Increase collaboration and securely share cloud knowledge with AWS re:Post Private

Today we’re launching AWS re:Post Private, a fully managed knowledge service to accelerate cloud adoption, improve productivity, and drive innovation. re:Post Private allows organizations to increase collaboration and access knowledge resources built for your cloud community. It includes curated collections of technical content and training materials from AWS. The content is tailored specifically for your organization’s use cases, along with private discussion and collaboration forums for the members of your organization and your AWS account team. As its name implies, you can think of it as a private version of AWS re:Post, with private content and access limited to people that belong to your organization and your AWS Account team. Organizations of all sizes and verticals are increasingly moving their…

AWS Glue Data Catalog now supports automatic compaction of Apache Iceberg tables

Today, we’re making available a new capability of AWS Glue Data Catalog to allow automatic compaction of transactional tables in the Apache Iceberg format. This allows you to keep your transactional data lake tables always performant. Data lakes were initially designed primarily for storing vast amounts of raw, unstructured, or semi structured data at a low cost, and they were commonly associated with big data and analytics use cases. Over time, the number of possible use cases for data lakes has evolved as organizations have recognized the potential to use data lakes for more than just reporting, requiring the inclusion of transactional capabilities to ensure data consistency. Data lakes also play a pivotal role in data quality, governance, and compliance,…

Amazon Bedrock now provides access to Meta’s Llama 2 Chat 13B model

Today, we’re announcing the availability of Meta’s Llama 2 Chat 13B large language model (LLM) on Amazon Bedrock. With this launch, Amazon Bedrock becomes the first public cloud service to offer a fully managed API for Llama 2, Meta’s next-generation LLM. Now, organizations of all sizes can access Llama 2 Chat models on Amazon Bedrock without having to manage the underlying infrastructure. This is a step change in accessibility. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies, including AI21 Labs, Anthropic, Cohere, Stability AI, Amazon, and now Meta, along with a broad set of capabilities to build generative AI applications, simplifying the development while maintaining privacy and security.…