Generate AI powered insights for Security Lake using SageMaker and Bedrock | Amazon Web Services
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Опубликовано 6 мая 2024, 16:01
In this video, I show you how to extend the capabilities of SageMaker Studio by using Amazon Bedrock, a fully-managed generative artificial intelligence (AI) service natively offering high-performing foundation models (FMs) from leading AI companies with a single API. By using Amazon Bedrock, security analysts can accelerate security investigations by using a natural language companion to automatically generate SQL queries, focus on relevant data sources within Security Lake, and use previous SQL query results to enhance the results from future queries.
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Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — are using AWS to lower costs, become more agile, and innovate faster.
#AWS #AmazonWebServices #CloudComputing
Learn more: go.aws/home
Subscribe:
More AWS videos: go.aws/3m5yEMW
More AWS events videos: go.aws/3ZHq4BK
Do you have technical AWS questions?
Ask the community of experts on AWS re:Post: go.aws/3lPaoPb
ABOUT AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — are using AWS to lower costs, become more agile, and innovate faster.
#AWS #AmazonWebServices #CloudComputing
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