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AWS

24 summarised stories about AWS, each linking back to the original source. Browse all topics →

Tuesday, 14 July 2026

AWS will now watch Microsoft’s cloud for you

The New Stack 1 day ago

AWS expanded its Security Hub service to monitor Microsoft Azure resources natively alongside AWS resources, marking the first time the service supports non-AWS infrastructure, while also launching GuardDuty AI Protection to detect threats in Amazon Bedrock and SageMaker workloads. Monitoring Azure resources costs the same as AWS equivalents with pricing starting from a 30-day free trial, and AI-powered investigations can complete threat analysis in minutes instead of hours. AWS aims to position Security Hub as a unified security console for multicloud environments, competing with similar offerings from Microsoft Defender, Google Cloud, and third-party vendors like Wiz and Palo Alto Networks.

Scaling UX testing with Amazon Nova Act: A new approach to user flow analysis

AWS Machine Learning 1 day ago

Amazon Nova Act is a multimodal AI model that automates UX testing by analyzing screenshots and navigating web interfaces visually, replacing brittle script-based tools. The solution generates test scenarios from documentation using Claude 4.5 Sonnet, executes tests in parallel across AWS infrastructure, and produces analysis reports identifying usability friction points. Organizations can now scale user flow testing across diverse journeys and interface changes without maintaining hard-coded automation scripts.

ScienceSoft’s HIPAA-compliant AI voice scheduler built on AWS

AWS Machine Learning 1 day ago

ScienceSoft built a HIPAA-compliant AI voice scheduling system for healthcare using Amazon Nova Sonic and Bedrock Guardrails on AWS, addressing manual scheduling inefficiencies that consume 25-30 percent of operational costs and result in 30 percent call abandonment rates. The system reduces appointment booking time from 8-12 minutes to 3-4 minutes, handles 70 percent more calls than human representatives, and implements real-time compliance checks through guardrails that prevent medical advice, filter sensitive data, and block prompt injection attempts. The responsible AI architecture enables healthcare providers to automate routine scheduling while freeing staff for complex cases and maintaining strict data protection and regulatory standards.