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Is Veracode worth the price for a 200-user shop?

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(@devops_barbarian_v2)
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Veracode? For 200 devs? You're about to pay for a yacht club membership to sail in a kiddie pool.

Their pricing is brutal for that size. You're buying a monolithic scanner when you probably just need to:
* Stop shipping known CVEs in your dependencies (open source tooling is fine)
* Catch the top 5 stupid code patterns in your PRs (linter hooks do this)

Their value is in checkbox compliance for enterprise risk departments. Unless you're in finance/healthcare with auditors breathing down your neck, you're overbuying.

The false-positive rate on their SAST means you'll need a dedicated team to triage. Got that? No? Then you've just bought a very expensive, very noisy doorstop.

fight me



   
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(@calebs)
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I'm a platform lead at a ~150 dev shop in logistics, we run Java/Go services on k8s and I've run Veracode scans for 3 years before switching.

Fit: Only enterprise. At 200 devs you'll be a rounding error to their sales team, support and feature requests will move at their pace.
Real pricing: List starts around $70k/year minimum commitment for their basic bundle, they wanted $120k from us for SAST/SCA/containers. That's $500/dev/year before you even start.
False positives: Our Java SAST runs flagged 12% of findings as actual bugs after triage. You'll burn 10-15 hours/week of senior dev time validating results unless you build extensive suppression rules.
Where it wins: Audit trails. If you need certified compliance reports for PCI DSS Level 1 or SOC 2, their portal generates exactly what auditors want with zero extra work.

We moved to Snyk for SCA and Semgrep for SAST, total cost about $45k/year. False positives dropped to maybe 25% of what Veracode gave us.

Pick Veracode only if your primary driver is passing formal audits with minimal manual reporting. Pick Snyk/Semgrep combo if you actually want to fix bugs faster. Tell us if you have compliance requirements and what your current false-positive tolerance is.



   
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(@amandak9)
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You're right about the price scaling poorly for a team of 200, and the false positive overhead is real. I've seen teams get paralyzed by alert fatigue.

But that bit about auditors is key - it's not just finance/healthcare. Any B2B SaaS company selling to large enterprises is getting those same security questionnaires, and "we use Veracode" shuts down a whole line of questioning instantly. The ROI is sometimes in sales velocity, not just bug catching.

Have you found a scanner that actually keeps up with modern frameworks without needing a dedicated triage team? I haven't, and that's the painful hole in the market.


Show me the accuracy numbers.


   
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(@devops_shift_worker)
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The yacht club analogy is spot on. Been on the night shift cleaning up after these expensive scanners more times than I care to admit.

You're right about the dependency bit. A decent CI pipeline with OSS tools like grype or trivy for SCA, and a focused set of custom semgrep rules for your actual stupid patterns, covers 80% of it for a fraction of the cost. That other 20% is pure compliance theater.

But I'll push back on needing a dedicated triage team. We built a ruthless auto-suppression system with a weekly review rotation. Still a tax, but it's a couple hours, not a full-time role. The noise is manageable if you treat the tool's output as raw data, not gospel.


NightOps


   
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(@brianw5)
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That auto-suppression system you built is the key, and I think that's what a lot of shops miss. They just accept the noisy waterfall of findings.

It reminds me of our shift-left attempt a while back. We integrated the scanner into the PR pipeline *without* any suppression baseline. Absolute chaos - the devs just started rubber-stamping approvals to make the warnings go away, which totally defeated the purpose.

Treating the output as raw data is the right mindset. We eventually got there too, by routing everything to a central platform team dashboard first. We'd curate a weekly "priority batch" for the dev teams based on actual exploitability and their context. Still a tax, but it turned a blocker into a workflow.


Automate all the things.


   
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(@henry)
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You're dead on about the sales velocity angle - we once lost a deal because "SonarQube" didn't check the box for a prospect's procurement team. A year later, with Veracode on the slide, the same type of conversation took 5 minutes. That's real ROI.

But to your question about scanners keeping up, I've had decent luck with Snyk for SCA and container scanning. Their path analysis for dependencies is cleaner, and it integrates into the PR without drowning everyone. For the custom code patterns, we pair it with a curated Semgrep ruleset. It's not a single-vendor "checkmark," but it's far less noisy.

The hole is still there for a unified solution that doesn't treat triage as a full-time job. Maybe that's the point - the "complete" platform is a myth for teams our size, and a composable stack is the actual answer.


Cheers, Henry


   
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(@calebh)
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You're right that the pricing curve feels steep at that scale, but I think the "kiddie pool" comparison underestimates the complexity some 200-person shops face. We have a mix of legacy monoliths and new microservices, and open source tooling left a huge coverage gap in the older code. The false positives are a real tax, though.

That checkbox compliance you mentioned, it's not just about auditors. It's about procurement teams at your biggest clients who see a recognizable name and move on. Sometimes the yacht club fee includes clearing the harbor.


Trust the data, not the demo.


   
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(@emma78)
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That point about procurement teams is something I hadn't considered from a B2B SaaS angle. So it's not just an audit report, it's a sales tool for getting past their vendor screening.

Do you think the "recognizable name" factor is strong enough to justify the cost alone? Or does the tool still need to provide some internal security value to make it worthwhile?



   
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(@charlotteb)
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I get the frustration, but the "kiddie pool" analogy assumes all 200-person shops are simple ponds. It's not about the size, it's about the complexity of your stack and your go-to-market motion.

You're absolutely right that open source tooling can cover the basics. But if you're selling to large enterprises, that checkbox compliance isn't just for auditors - it's a sales enabler. The time your security team saves answering 300-line vendor questionnaires because "Veracode" is a recognized answer is a real, measurable cost savings. Sometimes the yacht club fee is about getting your boat past the gatekeepers, not the size of the water you're sailing in.

That said, the false positive tax is brutal and often the deal-breaker. If you can't build that ruthless suppression system or afford the triage overhead, you've bought a very expensive, very fancy paperweight.



   
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(@data_diver_42)
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That dedicated triage team bit is the real hidden cost that doesn't show up in the sales quote. We ran the numbers once and found our senior devs were spending about an hour a day on average just validating low-confidence findings. That's a full salary's worth of time annually, just for noise.

But the compliance checkbox isn't *just* for auditors. We're B2B, and our security questionnaire response time dropped 70% after we could just tick "Veracode" and attach their standard report. It's a weird tax, but it paid for itself in saved pre-sales engineering hours.


Data is the new oil - but it's usually crude.


   
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(@adrianm)
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Thanks for laying it out so directly - that's really helpful. You're definitely right that the pricing can feel like overkill if you're just looking at the core scanning tech.

I've been wondering about that dedicated triage team point though. A few comments mentioned setting up ruthless auto-suppression systems to handle the noise without a full team. Is that something you've seen work in practice, or does it just move the overhead somewhere else?

Also, you mentioned linter hooks catching the top stupid patterns. Do you have any favorites for Python?


still learning


   
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(@crm_trailblazer_7)
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Auto-suppression works, but it's a technical debt factory. You're trading triage time for creating and maintaining a suppression rulebase. If your codebase is stable, it's a win. If you're rapidly developing new services, the rulebase becomes a second job.

For Python linters, we use Bandit for security-specific patterns and pair it with a custom Pylint plugin for our own stupid patterns (like hardcoded dev API keys in configs). The real win was wiring Bandit's medium/high findings into the PR as a blocking check. Low findings go to a weekly dashboard for review.

The hidden cost isn't the suppression system itself, it's the drift. When a library updates and introduces a new vulnerability class, your old suppression rules might hide real issues. You need a quarterly review cycle for the suppression list, or you're just building a quieter time bomb.


Show me the query.


   
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(@charliea)
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That quarterly review cycle you mentioned is the killer. We tried auto-suppression and let it run for almost a year without a deep audit. Found a whole suppressed rule category that was hiding real issues after a major framework update.

It turned the "time saved" math on its head. Do you treat that quarterly review as a dedicated security sprint, or just part of general platform upkeep?


Demo or it didn't happen


   
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(@alexh82)
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You're correct about the monolithic nature and the false positive tax. However, the "kiddie pool" analogy assumes a uniform level of complexity that rarely exists.

Even at 200 users, a shop managing a mix of modern APIs, legacy COTS integrations, and a few data pipelines faces a vulnerability surface that basic linters and SCA tools won't map. The cost isn't just the scanner, it's the curated policy library and the liability coverage their enterprise contracts include. That said, if your stack is genuinely homogenous, your point stands, and the tool becomes a very expensive policy engine.

The dedicated triage team is often a failure of process integration, not just the tool. A proper implementation requires building those auto-suppression rules directly into your pipeline definitions as code, treating them as a managed, versioned artifact. But that's a significant infrastructure commitment most teams don't factor into the purchase.



   
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(@fionah)
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That "coverage gap in the older code" is the real pitch, isn't it? But have you actually validated that the gap is filled by Veracode and not just by throwing a different, expensive scanner at the problem?

The sales enablement angle is valid, but it's a shifting baseline. What happens when your prospect's procurement list updates and "Veracode" gets swapped for "Snyk"? You're back to square one, but now locked into their pricing model for the internal value you claim is lacking.


trust but verify


   
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