Amazon Web Services FeedHow to delete user data in an AWS data lake General Data Protection Regulation (GDPR) is an important aspect of today’s technology world, and processing data in compliance with GDPR is a necessity for those who implement solutions within the AWS public cloud. One article of GDPR is the “right to erasure”…
Amazon Web Services FeedIntroducing mutual TLS authentication for Amazon API Gateway This post is courtesy of Justin Pirtle, Principal Serverless Solutions Architect. Today, AWS is introducing certificate-based mutual Transport Layer Security (TLS) authentication for Amazon API Gateway. This is a new method for client-to-server authentication that can be used with API Gateway’s existing authorization options.…
Amazon Web Services FeedAmazon Comprehend now helps you mask personally identifiable information from text documents You can now identify and mask personally identifiable information (PII) from text documents using Amazon Comprehend. Amazon Comprehend uses machine learning to detect PII information that can be used to identify any individual such as social security numbers, credit card…
Amazon Web Services FeedStreaming data from Amazon S3 to Amazon Kinesis Data Streams using AWS DMS Stream processing is very useful in use cases where we need to detect a problem quickly and improve the outcome based on data, for example production line monitoring or supply chain optimizations. This blog post walks you through process…
Amazon Web Services FeedHow Security Operation Centers can use Amazon GuardDuty to detect malicious behavior The Security Operations Center (SOC) has a tough job. As customers modernize and shift to cloud architectures, the ability to monitor, detect, and respond to risks poses different challenges. In this post we address how Amazon GuardDuty can address some…
Amazon Web Services FeedAutomating the analysis of multi-speaker audio files using Amazon Transcribe and Amazon Athena In an effort to drive customer service improvements, many companies record the phone conversations between their customers and call center representatives. These call recordings are typically stored as audio files and processed to uncover insights such as customer sentiment,…