I'm running into some challenges with the security gates in our EKS CI/CD pipelines. While they generally seem robust, we're facing issues with false positives that are too frequent for medium severity risks. The gate automatically blocks merges when certain IAM or S3 problems are detected, and old dependencies in non-production namespaces are often the culprits causing these disruptions. We've tried using custom Node.js policies, which help a bit, but managing different thresholds across five accounts for production, staging, and development makes it complicated. It feels like the security tool is hindering developer productivity more than it's protecting our production environments. Does anyone have experience with EKS deployment gates? How do you manage to reduce the noise? Ideally, we want to only block critical issues for genuinely exposed assets. Implementing scripts or templates for multi-account policy inheritance could really ease this process. Right now, we're polling the scan API after running Helm in dry-run mode, but it's a bit unwieldy. I'd love to know if there are better strategies or tools that can improve how we handle EKS pipelines!
3 Answers
Some teams have shifted from blocking PRs to creating risk dashboards for each pull request. This way, developers can see the issues without being stopped by false positives, and only critical merges are gated at the end of the process rather than during development. It keeps things safe while minimizing frustration.
One major point to keep in mind is the distinction between scanning for vulnerabilities and prioritizing risks. Many scanners like Trivy or Anchore often just flag vulnerabilities without accurately assessing their actual risk based on exposure. That’s why you're encountering the issue you mentioned—low-impact findings blocking merges. A more effective approach is to use a platform like Orca, which provides contextual risk scoring and focuses on vulnerabilities linked to real cloud assets. This way, you can continue scanning IaC and images but only block genuine threats, avoiding those annoying false positives.
There’s always a bit of friction between security measures and developer speed. One suggestion is to implement tiered enforcement: block only critical issues in production while merely warning about medium issues in development. Additionally, using policy inheritance scripts could help maintain consistency across your accounts without needing constant manual adjustments. Although Helm dry run with API polling can work, integrating a dedicated policy-as-code framework like Open Policy Agent (OPA) or Terraform Sentinel into your pipelines could make things much smoother.
That’s a neat idea! It definitely sounds like a more efficient approach to manage security without derailing development.