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Use Docker Scout Policies to enhance application security in containers

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Brandon Lee
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Quick overview of how to use Docker Scout policies for better container app security:

Step 1: Implement Docker Scout Policies for Enhanced SecOps Docker Scout dashboards serve as a vital tool for security teams, offering a user-friendly interface with pre-configured policies. These policies enable quick comparisons between the desired and current application security states, pinpointing areas that need attention. The default policy settings provided can be customized to align with internal standards and requirements.

Step 2: Assess the Effectiveness of Security Policies The Docker Scout dashboards function as both visual tools and analytical instruments to evaluate an organization's application security stance. They provide summaries and compliance checks against established standards, helping security teams measure the effectiveness of their policies. For instance, a policy like the critical CVE policy reveals the proportion of images free from critical CVEs (Figure 1).

Step 3: Gain Detailed Insights for Targeted Action Docker Scout dashboards facilitate detailed analysis and deeper understanding. By selecting 'View details' on any policy, users can see comprehensive data on non-compliant images and pinpoint vulnerabilities within them. This feature enables teams to easily identify and understand the necessary steps for effective remediation (Figure 2).

Step 4: Integrate Docker Scout CLI for Immediate Feedback in Development Docker Scout is seamlessly integrated into developers' workflows, including the CLI, for immediate feedback. A simple command like docker scout policy in the CLI provides instant insights into image compliance with organizational policies. This integration speeds up the feedback process, enhancing developer efficiency (Figure 3).

Step 5: Receive Clear Recommendations for Quick Issue Resolution Docker Scout not only identifies problems but also suggests clear steps for resolution. Running the docker scout recommendations command guides developers with straightforward solutions (Figure 4). This feature enables developers to quickly address issues, like updating a base image, streamlining the resolution process and reinforcing confidence in their workflow.