Black Duck pricing feedback - is it really that expensive?

Your cost comparison to your monitoring and database cluster hit home. That's the exact frame I use for budget talks.

One thing you didn't mention: the renewal trap. Their "deep component detection" is great, but once your inventory is built, the ongoing value drops. Yet renewal quotes often go up 10-20% automatically.

My advice? Take that $50k quote to a competitor like Mend (formerly WhiteSource) or Snyk. Get a real apples-to-apples quote. Then go back to Black Duck and ask them to match it. It forces them to defend their premium. I've seen this knock 30% off the initial number.

Have they offered a proof-of-concept pilot? Sometimes you can get a 90-day pilot at a steep discount to prove value before you commit to the full year.

Wow, $50k feels like a lot for 25 engineers. That's like $2k per person just for scanning.

You mentioned comparing it to the cost of integrating separate OSS tools. Have you actually tried to run those numbers? I'm curious what a patchwork of OSS tools *really* costs in engineer hours per month. Might be more than we think.

You've put your finger on the exact accounting trick. Yes, it's $2k per person if you divide it out, but that's meaningless because you're not buying a tool *for people*. You're buying it for the codebase and the pipeline.

> I'm curious what a patchwork of OSS tools *really* costs in engineer hours per month.

That's the right question, but it's almost impossible to answer because the cost is non-linear and hidden. It's not a steady monthly tax. It's a massive upfront integration sprint, followed by weeks of tuning false positives, then a low hum of maintenance... until a critical CVE drops and your cobbled-together system doesn't flag it because your policy rules haven't been updated. Then it's an all-hands fire drill.

The real cost isn't the engineer hours to *run* the tools. It's the organizational debt of owning the entire responsibility chain, from detection to enforcement to legal review, with no single throat to choke when it goes sideways.

Oh man, that sticker shock is real, I've been there. You hit on the right mental shift though: comparing it to your monitoring/database spend. That's the language your finance folks speak.

The piece I think you're still underselling is the "error-prone" manual audit. I once spent a whole weekend on a false-positive CVE panic that turned out to be a transitive dependency in a deprecated internal library. The tool we cobbled together scanned the main deps but missed the nested mess. The cost wasn't the weekend, it was the delayed launch. A real policy engine would've suppressed that noise automatically based on the repo path.

That said, $50k is a tough swallow. Have you tried pushing them on a "commit-based" or "repo-based" tier? Sometimes they bury those options if you're only asking about per-seat pricing.

The insurance analogy falls apart precisely because actuarial data for software risk doesn't exist in a usable form. The probable annual loss from a compliance violation is a complete unknown; you can't model it like car accidents. So you're right, it's a rhetorical trick to justify any price.

Where I see a sliver of validity is that the manual triage cost you mention *can* be modeled, but it's internal labor, not a regulatory fine. The tool's real value is in suppressing the noise from that legacy sprawl automatically. The question is whether their policy engine is sophisticated enough to do that out-of-the-box, or if you'll just be paying $50k for a fancy scanner that still dumps a massive triage load on your team.

You're thinking about this wrong. The manual audit isn't just error-prone, it's a compliance liability. The gap isn't in missing a critical CVE, it's in failing to prove you looked.

But $50k for 15 services is still insane. Their pricing is built on FUD.

> the cost of integrating and maintaining separate OSS tools

That's the trap. You're not paying for the scan, you're paying for the policy database and the audit trail. Ask them for a breakdown of cost per policy rule or per critical CVE tracked. Watch them squirm.

For 25 engineers, that budget could buy a dedicated security platform engineer for a year to build something tailored. Black Duck is a tax for companies with more money than engineering time.

Compliance liability is real. But after building the audit trail once, maintaining it is trivial.

The real gotcha is policy drift. Their rules update automatically, yes. But when they change a suppression rule, your compliance proof for last quarter's report is now based on a different policy. That's a mess their sales team never mentions.

> dedicated security platform engineer for a year

That's my exact counter to their pricing. For that cash, you can hire someone to build a tailored system *and* own your entire SBOM process. Black Duck is renting you a policy you don't control.

You've hit on the exact internal contradiction of these platforms. The policy engine is their big selling point, the thing that automates away your manual triage. But as you say, when it drifts, your audit trail becomes fiction.

I've seen this play out. A suppression rule changes, and suddenly a vulnerability you'd documented as "approved and suppressed" in last quarter's audit is now flagged as "new, critical." You either have to go back and amend all your historical reports, which is a compliance nightmare, or you have to explain why you're ignoring a critical finding that their own system just surfaced. Their support response is always some variation of "the policy was updated to reflect new industry best practices," which is just marketing fluff for "we changed our minds and broke your evidence chain."

So you're paying a premium not just to rent the policy, but to rent a policy that can retroactively invalidate your compliance work.

You're overthinking the "manual effort" comparison. That's the trap.

Every company I've seen justify these tools ends up with the same monthly triage meeting, just with a $50k scanner feeding the agenda. The policy engine you're paying for creates as much work as it automates.

Take that budget and hire a contractor to build a custom pipeline. Use Syft for SBOM, Grype for vulns, a few scripts for policy. You'll own the system and can actually fix the false positives.