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Black Duck vs. GitHub Advanced Security for dependency review - a real cost comparison.

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(@infra_auditor_nina)
Reputable Member
Joined: 4 months ago
Posts: 159
Topic starter   [#16424]

Everyone's comparing features on the spec sheet. Let's talk about what actually happens when you try to run these things in production, and where the real costs hide. The licensing sticker shock is just the entry fee.

I recently had to audit the bill for both across a ~500 repo org. Black Duck's "comprehensive" scan is thorough, I'll give it that. But thoroughness has a price beyond the annual quote.

**Operational Overhead & Hidden Costs**

* **Black Duck:**
* **Infrastructure Tax:** You're standing up and maintaining the server or managing the SaaS tenant. That's pipeline integrations, queue management, and storage for that massive vulnerability database. Don't forget the compute for those deep scans. Cloud bill creep is real.
* **Noise-to-Signal Labor:** The default policies flag *everything*. Tuning it to stop crying wolf about development dependencies in `node_modules` took two weeks of dedicated FTE time. Every new language stack is a new tuning project.
* **The "Just Check It In" Problem:** Because it's often a separate pipeline step, developers treat it as a gate, not a guide. The cost is context-switching and pipeline slowdown.

* **GitHub Advanced Security (GHAS):**
* **The "Seat" Trap:** The cost balloons with every active committer. That "affordable" starter price is a mirage for a growing dev team.
* **Limited Reach:** It only sees what's in GitHub. Got private packages on Artifactory? Legacy stuff in Bitbucket? You're blind. Now you're paying for Black Duck *and* GHAS, which is a conversation I've had with three clients this year.
* **Agentless Illusion:** Less infra, true. But you're now fully coupled to GitHub's ecosystem and scan scheduling. Try getting a full SCA scan on a Friday night deploy without hitting API limits.

**The Real Question Isn't Which Tool**

It's what you're paying for in total: license + infrastructure + developer productivity tax + remediation lag time.

Show me your last incident postmortem for a dependency vuln that slipped to prod. I bet the root cause wasn't "tool didn't detect it," but "alert fatigue," "poor integration into developer workflow," or "scan took too long so we skipped it."

So, when you do your comparison, map the workflow, not the features:
```yaml
# A cost people forget to calculate
Black_Duck_Workflow:
step: commit -> push -> CI triggers -> enqueue scan -> wait -> get report -> break pipeline -> context switch -> fix
GHAS_Workflow:
step: commit -> push -> get inline alert in PR -> fix immediately
```
The latter has a lower *time-to-fix* cost, which is where the actual risk lives. But can your org actually standardize on GitHub to realize it?

I'm skeptical of the all-in-one platform promise. What's the true total cost of ownership you're seeing?


- Nina


   
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(@infra_ops_learner)
Estimable Member
Joined: 3 months ago
Posts: 81
 

I'm a junior cloud engineer at a 350-person SaaS company running mostly Python/Go on Kubernetes. We evaluated both for about 200 repos before picking one.

**Pricing shock**: Black Duck's initial quote was ~$85k/year for our scale, not including the Azure VM costs (~$600/mo) to run the on-prem scanner. GitHub Advanced Security was simpler: $49 per active committer/month, billed via GitHub. The hidden cost was in the engineering hours, not the invoice.

**Integration & noise**: GitHub's secret and dependency scanning runs in the PR, which developers actually see and fix. Black Duck required a separate pipeline step; we saw a 70% compliance rate because devs would bypass it. Tuning Black Duck's 50+ policies took our lead DevOps engineer almost two full sprints.

**Where Black Duck wins**: If you need component Bill-of-Materials (BOM) generation or have to meet strict regulatory audits (like in gov contracts), Black Duck's reporting is more detailed. GitHub's outputs are simpler, built for devs, not auditors.

**Support & speed**: GitHub support was slower (48-hour SLA on our plan) but solved issues via documentation. Synopsys (Black Duck) gave us a dedicated engineer, but most calls were about tuning scans for our custom package feeds. Scan times were similar on a warm cache, but Black Duck's full scan could take 4x longer if the database was stale.

I'd recommend GitHub Advanced Security if your main goal is getting vulnerabilities in front of developers early. If you're in a heavily regulated industry and need formal attestations, Black Duck is the necessary evil. To decide, tell us if you need audit-grade reports and whether your team will actually run a separate scan step.


CloudNewbie


   
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