AWS Security Hub, a cloud security posture management service that performs security best practice checks, aggregates alerts, and facilitates automated remediation, now features a capability to automatically update or suppress findings in near-real time. You can now use automation rules to automatically update various fields in findings, suppress findings, update finding severity and workflow status, add notes, and more. 

AWS Elastic Disaster Recovery (AWS DRS) now allows you to replicate and recover your AWS network components and configurations to maintain the readiness and security of your AWS recovery site. These components includes subnet CIDR, security groups, route tables, Internet gateways, and network ACLs. 

AWS Well-Architected introduces Profiles, which allows customers to tailor their Well-Architected reviews based on their business goals. This feature creates a mechanism for continuous improvement by encouraging customers to review their workloads with certain goals in mind first, and then complete the remaining Well-Architected review questions.

AWS CloudTrail Lake, a managed data lake that lets organizations aggregate, immutably store, and query their audit and security logs for auditing, security investigations and operational troubleshooting, announces the general availability of CloudTrail Lake dashboards. CloudTrail Lake dashboards provide out-of-the-box visibility for top trends from your CloudTrail data directly within the CloudTrail Lake console. It also offers the flexibility to drill down into additional details such as specific user activity for further investigation needs using CloudTrail Lake SQL queries. Auditing and compliance engineers can use the CloudTrail Lake dashboards to track progress of compliance mandates such as migration to TLS 1.2 and beyond. CloudTrail Lake dashboards will help security engineers closely track sensitive user activities such as deletion of trails or repeated access denied errors. Cloud operation engineers can get visibility to issues such as top service throttling errors from the curated dashboard.

AWS WAF Fraud Control announces Account Creation Fraud Prevention, a managed protection for AWS WAF that is designed to prevent creation of fake or fraudulent accounts. Fraudsters use fake accounts to initiate activities, such as abusing promotional and sign-up bonuses, impersonating legitimate users, and carrying out phishing attacks. These activities can lead to several direct or indirect costs such as damaged customer relationships, reputational loss, and exposure to financial fraud. Account Creation Fraud Prevention protects your account sign-up or registration pages by allowing you to continuously monitor requests for anomalous digital activity and automatically block suspicious requests based on request identifiers and behavioral analysis. 

Today, AWS announces the preview release of Amazon CodeGuru Security, a static application security testing (SAST) tool that uses Machine Learning to help you identify code vulnerabilities and provide guidance you can use as part of remediation. CodeGuru Security also provides in-context code patches for certain classes of vulnerabilities, helping you reduce the effort required to fix code vulnerabilities.

Today, AWS announces a new summary page in the Amazon GuardDuty console to help you more quickly identify and take action on the highest-priority findings across your AWS environment. The summary page presents trends of findings over time, a breakdown of findings by severity and finding type, and top finding volume resources such as Amazon Elastic Compute Cloud (Amazon EC2) instances, Amazon Simple Storage Service (Amazon S3) buckets, Amazon Relational Database Service (Amazon RDS) databases, AWS Lambda functions, or Amazon Elastic Kubernetes Service (Amazon EKS) clusters. If you are operating in a multi-account environment, the new summary page consolidates findings from across the organization, and helps you to more quickly identify top-impacted accounts. 

Today, AWS Audit Manager announces expanded support for third-party risk assessments with the launch of two new features: a third-party questionnaire and the ability to export evidence as a comma-separated values (CSV) file. Customers can already share custom frameworks with vendors on AWS, so that vendors can create assessments on these frameworks and automatically collect evidence from their environments. Together, these features make it easier for enterprises to customize their third-party vendor risk assessments on AWS. 

Amazon Personalize now supports Amazon Virtual Private Cloud (VPC) endpoints, allowing Amazon Personalize to communicate with your resources on your VPC without going through the open internet. Amazon VPC is a service that you use to launch AWS resources in a private virtual network that you define and manage. To connect your VPC to Amazon Personalize, you define a VPC endpoint for Amazon Personalize. An endpoint is an elastic network interface with a private IP address that serves as an entry point for traffic destined to a supported AWS service. The endpoint provides reliable, scalable connectivity to Amazon Personalize, and doesn’t require an internet gateway or VPN connection. For more information, see What is Amazon VPC in the Amazon VPC User Guide.

Today, AWS launched a new capability that significantly improves face search accuracy by leveraging multiple face images of a user. Currently, Amazon Rekognition allows customers to search users represented by individual face vectors. Face vectors are mathematical representations of faces from images. Now, customers can create user vectors, which aggregate multiple face vectors of the same user. User vectors offer higher face search accuracy with more robust depictions, as they contain varying degrees of lighting, sharpness, pose, appearance, etc.