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Microsoft Azure Virtual Training Day: Deliver Integrated Analytics with Azure Synapse
August 25, 2021
Optimize training performance with Reduction Server on Vertex AI
August 25, 2021Previously, we wrote about the benefits of Google Cloud’s vulnerability scanning in the software supply chain, right from build to deploy. Those key benefits still apply, and are strengthened with the addition of On-Demand Scanning. For instance, you can continue to monitor images stored in Artifact Registry (via automated scanning) in addition to On-Demand Scanning at build time. By using On-Demand Scanning at this earlier stage, vulnerabilities can be detected before an image is stored. This way you can reduce the number of vulnerable images pushed and ensure any newly discovered vulnerabilities are caught well before deployment.
The data sources for vulnerabilities come directly from the industry-standard distros (e.g. Debian, RHEL, Ubuntu) and the National Vulnerabilities Database (NVD). Aggregating these sources allows you to see results that include the CVSS score assigned by NVD, and the severity assigned by the distro. Once you’ve identified a potential vulnerability, you can make decisions based on your own security policies and needs.
Results returned by On-Demand Scanning are formatted to the open-source Grafeas standard, and can be parsed in the same way as vulnerability scanning in Artifact Registry. Thus, any existing tooling that consumes the Grafeas format (including Artifact Registry and Container Registry) can be used with On-Demand Scanning.
To get started today, all you need to do is enable the On-Demand Scanning API and connect it to your container. For guidance, take a look at our quickstart guide to run On-Demand Scanning on any local machine or try the tutorial that describes how to use On-Demand Scanning with Cloud Build.