Tag: Veliswa Boya

Performing automatic game day testing of all your critical resources is an important step in determining that you are prepared to respond to ransomware or any data loss event. This gives you the opportunity to take appropriate corrective actions based on the results and monitor results such as success or failure from these tests. Ultimately, you will be able to ascertain if the restore times meet your expected organization’s recovery time objective (RTO) goals, helping you develop improved recovery strategies. Today, we’re announcing restore testing, a new capability in AWS Backup that allows you to perform restore testing of your AWS resources across storage, compute, and databases. With this feature, you can automate the entire restore testing process and avoid…

We are announcing generative artificial intelligence (AI)-powered call summarization in Amazon Transcribe Call Analytics in preview. Powered by Amazon Bedrock, this feature helps businesses improve customer experience, and agent and supervisor productivity by automatically summarizing customer service calls. Amazon Transcribe Call Analytics provides machine learning (ML)-powered analytics that allows contact centers to understand the sentiment, trends, and policy compliance of customer conversations to improve their experience and identify crucial feedback. A single API call is all it takes to extract transcripts, rich insights, and summaries from your customer conversations. We understand that as a business, you want to maintain an accurate historical record of key conversation points, including action items associated with each conversation. To do this, agents summarize notes…

Auditing is a continuous and ongoing process, and every audit includes the collection of evidence. The evidence gathered helps confirm the state of resources and it’s used to demonstrate that the customer’s policies, procedures, and activities (controls), are in place, and that the control has been operational for a specified period of time. AWS Audit Manager already automates this evidence collection for AWS usage. However, large enterprise organizations who deploy their workloads across a range of locations such as cloud, on-premises, or a combination of both, manage this evidence data using a combination of third-party or homegrown tools, spreadsheets, and emails. Today we’re excited to announce the integration of AWS Audit Manager with third party Governance, Risk, and Compliance (GRC)…

We are announcing new features in AWS Health to help you manage planned lifecycle events for your AWS resources and dynamically track the completion of actions that your team takes at the resource-level to ensure continued smooth operations of your applications. Some examples of planned lifecycle events are an Amazon Elastic Kubernetes Service (Amazon EKS) Kubernetes version end of standard support, Amazon Relational Database Service (Amazon RDS) certificate rotations, and end of support for other open source software, to name a few. These features include: The ability to dynamically track the completion of actions at the resource level where possible, to minimize disruption to applications. Timely visibility into upcoming planned lifecycle events, using notifications at least 90 days in advance…