Security News
New Amazon Macie service optimizations enable customers to discover and protect their sensitive data in AWS at an 80% or greater discount compared to previous pricing. Amazon Macie reduces this burden by providing a scalable and cost-efficient service that helps customers more easily discover and protect their sensitive data in AWS. Once enabled with one click in the AWS Management Console, Amazon Macie automatically provides customers with a full inventory of their Amazon S3 buckets.
Amazon Web Services, an Amazon.com company, announced the general availability of Amazon Kendra, a highly accurate and easy to use enterprise search service powered by machine learning. Businesses can use Amazon Kendra to search internal documents spread across portals and wikis, research organizations can create a searchable archive of experiments and notes, and contact centers can use Amazon Kendra to find the right answer to customer questions across the complete library of support documentation.
Amazon Web Services, an Amazon.com company, announced the general availability of UltraWarm for Amazon Elasticsearch Service, a new, highly performant, fully managed, low-cost warm storage tier that provides fast, interactive analytics of log data at one-tenth the cost of existing storage options. UltraWarm for Amazon Elasticsearch Service gives Elasticsearch customers a warm storage tier that both stores large amounts of data cost-effectively and provides the type of snappy, interactive experience that Elasticsearch customers expect.
Giving users of smart assistants the option to adjust settings for privacy or content delivery, or both, doesn't necessarily increase their trust in the platform, according to a team of Penn State researchers. Trust in Amazon Alexa went up for regular users who were given the option to adjust their privacy and content settings, the researchers found in a recent study.
Amazon Web Services, an Amazon.com company, announced the opening of the AWS Europe Region. "AWS customers in Italy are among the most creative and innovative organizations that we support anywhere in the world, and we are always inspired by the work they do with our technology," said Peter DeSantis, Senior Vice President of Global Infrastructure and Customer Support, Amazon Web Services.
Amazon AppFlow is a fully managed service that provides an easy, secure way for customers to create and automate bidirectional data flows between AWS and SaaS applications without writing custom integration code. Millions of customers run applications, data lakes, large-scale analytics, machine learning, and IoT workloads on AWS. These customers often also have data stored in dozens of SaaS applications, resulting in silos that are disconnected from data stored in AWS. Organizations want to be able to combine their data from all of these sources, but that requires customers to spend days writing code to build custom connectors and data transformations to convert disparate data types and formats across different SaaS applications.
AWS on Tuesday announced the general availability of Amazon Detective, a service that makes it easier for customers to investigate security issues. Unveiled in December 2019, Amazon Detective is designed to automatically collect data from the customer's AWS environment and uses that data to create interactive visualizations that can be highly useful for analyzing potential security issues or suspicious activity.
Amazon Detective is a new security service that makes it easy for customers to conduct investigations into security issues across their AWS workloads. Amazon Detective automatically collects log data from a customer's resources and uses machine learning, statistical analysis, and graph theory to build interactive visualizations that help customers analyze, investigate, and quickly identify the root cause of potential security issues or suspicious activities.
Researchers have discovered another big database containing millions of European customer records left unsecured on Amazon Web Services for anyone to find using a search engine. Data in the records included names, shipping addresses, email addresses, phone numbers, items purchased, payments, order IDs, links to Stripe and Shopify invoices, and partially redacted credit cards.
If the email is true, you can simply go to the Amazon site yourself, or use the Amazon app - the online location of Amazon isn't a secret. We don't know whether the crook who sent us the phishing email made a mistake, and used the wrong URL, or whether a second crook had arrived in the interim and then taken over the hacked server from the original hackers.