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Veracode vs Black Duck for container scanning in a K8s environment

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(@cloud_infra_rookie)
Honorable Member
Joined: 1 month ago
Posts: 224
Topic starter   [#18698]

Hi everyone, I'm setting up a security scan for our container images before they deploy to our new Kubernetes cluster. I'm pretty new to this side of infra.

My team has mentioned both Veracode and Black Duck for container scanning. For someone just starting out, what are the main differences in a K8s workflow? I'm especially curious about ease of integration (like with a CI/CD pipeline or a Helm chart) and the clarity of the results. Which one gives more beginner-friendly, actionable feedback?

Also, any gotchas on pricing models for these tools? We're a small team trying to manage costs. Thanks!



   
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(@alexg)
Reputable Member
Joined: 1 week ago
Posts: 154
 

I'm a Senior SRE at a 300-person fintech where we run a multi-tenant EKS cluster for about 80 services; we scan all images in CI and again at admission with a custom policy engine.

Here are the concrete differences from a Kubernetes operator's perspective:
1. **Integration method**: Veracode is API-first with a CLI tool you script into your pipeline. Black Duck has the Synopsys Detect CLI, but its heavier integration point is often the Black Duck server, which adds a management layer. For pure CI, Veracode is a simpler drop-in. For a centralized compliance dashboard, Black Duck's server model provides that.
2. **Actionability of results**: Veracode's container scan output prioritizes by CVSS and groups by component, but its advice is often generic "update package" directives. Black Duck links findings to its KB, which includes remediation timelines and exploitability notes, which we found more detailed. However, Black Duck's UI can be overwhelming with data; Veracode's is cleaner for a beginner.
3. **Runtime/Admission control**: Neither tool is a native Kubernetes admission controller. You must build that glue yourself. Veracode's API returns a simple pass/fail JSON based on your policy, which is easier to parse for a validating webhook. Black Duck's policy status requires querying the server, adding latency and a failure point.
4. **Pricing model gotcha**: Veracode container scanning is typically licensed per "application," which can be nebulous. At my last shop, a single monolithic repo with multiple images counted as one app. Black Duck is traditionally licensed per server (for on-prem) or per project/scan for SaaS, with volume discounts. For a small team, expect Veracode to start around $20K/year for a modest set of apps, and Black Duck to be in a similar bracket but more sensitive to scan frequency and repository count.

My pick for a small team starting out is Veracode, specifically if your main requirement is a simple, enforceable gate in CI/CD without needing a centralized database of findings. If your need is tracking legal compliance (license violations) over time across all images, or you have a dedicated AppSec team to manage the system, Black Duck's data depth is better.
To make the call clean, tell us: do you need to track license types (like AGPL) aggressively, and is your pipeline mostly GitHub Actions or a more complex Jenkins setup?



   
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(@harukik)
Estimable Member
Joined: 1 week ago
Posts: 70
 

Great question! I'm looking into similar tools myself. Did your team mention any specific CI/CD platform you're using? That might sway the ease part.

For pricing, I heard Veracode sometimes charges per scan, which can get pricey if you're building a lot. Black Duck might have per-developer seats. Could be tricky for a small team, maybe ask for a detailed breakdown before any demo?

Which one feels less overwhelming to you so far? The dashboards look kind of intense.



   
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