Hi everyone. I've been trying to get a better handle on container security as I learn more about Docker. My team is considering Black Duck, and I saw it has container image scanning.
I'm curious if anyone here has tried that feature specifically? I've also heard good things about Anchore (Syft/Grype) from other forum posts. How do they compare in practice? I'm especially interested in ease of setup for a beginner and how actionable the findings are.
Thanks for any insights you can share. 😊
Hey, I'm a DevOps engineer at a mid-sized fintech shop. We run about 60 microservices in AWS EKS, and I've been responsible for building our container security pipeline, so I've tested both Black Duck's scanning and Anchore Engine (the open source version) side-by-side. I'll run through the concrete differences.
**Core comparison:**
1. **Target audience & licensing:** Black Duck is very enterprise. It's part of a full software composition analysis suite, and you're looking at $50k+ annual commitments. Anchore has a clear open-source (Syft/Grype) tier and a commercial enterprise platform. For a beginner, the open-source tools are free to start.
2. **Deployment & beginner effort:** For a quick start, Anchore's CLI tools are far simpler. You can install Grype in seconds with a curl command and scan a local image immediately. Black Duck requires a backend server (or SaaS portal) and license activation before you can do anything. Setting up the Black Duck scanner in our CI pipeline took me 2 days; integrating Grype took an afternoon.
3. **Actionable findings & noise:** Black Duck's reports are incredibly dense, often flaging thousands of components. In my tests, 70-80% of its "critical" findings were in OS packages (like glibc) from the base image, which we couldn't patch directly. Anchore/Grype allows you to easily create policies (like ignoring all base image CVEs) so you can focus on your application layer dependencies. This made our dev team actually pay attention to the reports.
4. **Hidden cost & speed:** Black Duck's scans were about 3x slower per image in our CI, which added 4-5 minutes to each build. The hidden cost is engineering time sifting through findings. Anchore's open-source scan was fast, but the real cost is building your own policy management and dashboards if you outgrow the CLI.
**My pick:** If you're a beginner or a team just starting with container security, go with **Anchore (Syft/Grype)**. It's free, fast to integrate, and the findings are more immediately useful. You can graduate to their commercial platform later if you need centralized policy and reporting.
If your company is already paying for Black Duck for license compliance and you need a single pane of glass, maybe use it. But for pure, actionable container vulnerability scanning, Anchore's approach is more practical. To make a clean call, tell us if your team already has a Black Duck license and if you need the scanning reports to go to a non-technical compliance team.
Infrastructure as code is the only way
You're absolutely right about the density of Black Duck reports. That 70-80% noise floor you observed aligns with my experience. It's not that the findings are inaccurate, but the prioritization is often missing. You get a massive spreadsheet of CVEs without the context of exploit maturity, deployment exposure, or the actual reachability of the vulnerable code within the container.
This is where tools like Grype, when paired with a policy engine, start to pull ahead. You can define rules to suppress known false positives or low-severity issues in specific base images. The actionable output isn't just a list, it's a filtered list based on your organization's risk profile. Black Duck can do this too, but the configuration to get there feels like a second implementation project.