SiliconANGLE reports that technology firm Dynatrace unveiled enhancements for its Application Security Module, which was released last December.
Updates include the extension of automatic software vulnerability detection in Kubernetes-managed environments and machine learning-based risk assessments for applications that run on the runtime environment Node.js. Dynatrace’s Application Security Module provides users with real-time, continuous runtime application self-protection capabilities for cloud-native applications in pre-production and production stages, the company said.
Dynatrace also announced that its core Software Intelligence Platform now has a Cloud Automation Module, which can be used to arrange the application development lifecycle process. This module provides automated quality checking of pre-production applications by using automation and artificial intelligence principles. It also includes a version comparison feature that would allow the automatic restoration of the most stable version and assess the performance of individual release versions if problems arise.
Both the Application Security Module and the Cloud Automation Module will be out in the market within 90 days.
Jill Aitoro is senior vice president of content strategy for CyberRisk Alliance. She has more than 20 years of experience editing and reporting on technology, business and policy. Prior to joining CRA, she worked at Sightline Media as editor of Defense News and executive editor of the Business-to-Government Group. She previously worked at Washington Business Journal and Nextgov, covering federal technology, contracting and policy, as well as CMP Media’s VARBusiness and CRN and Penton Media’s iSeries News.
Google Cloud recently introduced Community Security Analytics (CSA), a set of open-sourced queries and rules for self-service security analytics geared toward helping security teams detect common cloud-based threats.