I'm looking for a practical way to continuously monitor container images that are already running for known vulnerabilities. Is Trivy Operator still the simplest option for quickly scanning workloads, or are tools such as NeuVector or CrowdStrike Falcon a better fit? I'd also like to hear how others combine runtime monitoring with dependency and base-image update tools, including the trade-offs around setup, resource usage, coverage, and maintenance.
3 Answers
Trivy is still a straightforward choice, especially if you already use it in CI or your image pipeline. It’s relatively easy to deploy and gives you vulnerability reports for workloads in the cluster. The main limitation is that scanning alone doesn’t provide much runtime behavior or threat detection, so it works best as one layer rather than the entire security strategy.
I’ve experimented with NeuVector. It offers broader runtime visibility and policy enforcement, but it’s considerably heavier than what many smaller environments need. It makes more sense when you need network controls, behavioral monitoring, and stronger runtime protection instead of just image vulnerability reports.
A lot of teams combine image scanning with automatic patching. Renovate or Dependabot can update application dependencies and image references, while tools such as Kpack can rebuild images when the base image changes. That reduces the number of vulnerabilities reaching production, but it doesn’t replace runtime monitoring—especially for third-party images and charts that you don’t control.
For third-party images and charts, you still need an inventory and some kind of recurring scan or update process. Automated dependency updates help, but they won’t reliably cover every upstream release or configuration change.
Thanks, I’ll take a closer look at it. The extra runtime coverage sounds useful, although I’m trying to avoid adding a large platform for a relatively small setup.