We've been on Veracode for our SAST and SCA for a few years now. The security team is happy with the depth, but our dev teams are constantly frustrated with scan times, especially for our larger monorepos. It's become a real bottleneck in our CI/CD pipelines.
I've been hearing a lot about Apiiro lately, specifically around their "contextual" scanning and promises of much faster results without sacrificing accuracy. The marketing sounds good, but I'm inherently skeptical.
Before I even set up a demo for our team, I'm looking for real-world comparisons. Has anyone here made a similar switch?
* What was the actual reduction in scan time for a large, complex codebase? We're talking 2+ hour Veracode scans on some projects.
* How does Apiiro handle monorepos compared to Veracode? Do you still have to configure it per service/module, or is the setup more holistic?
* Most importantly: what was the trade-off in findings? Did you see a noticeable increase in false positives, or did you miss deeper issues that Veracode would have caught? I'm especially concerned about SCA reach.
Any benchmark data or specific anecdotes on integration effort and developer experience would be incredibly valuable. We care about security, but we also care about velocity and data hygiene in our toolchain.
Benchmarks or bust
I lead appsec for a mid-sized fintech (around 300 devs), and we made this exact switch about eight months ago after a thorough PoC. We run both a massive Java monorepo and a collection of microservices, so I feel your pain on those 2+ hour Veracode scans.
- **Scan speed & monorepo handling:** This was the biggest win. Our Veracode SAST scans averaged 90-120 minutes for the monorepo. With Apiiro, the first contextual analysis of the entire repo took a similar time, but incremental scans now complete in 8-12 minutes on the same branch. The setup is more holistic; you connect the whole repo, and it maps the projects/modules internally. You don't have to configure individual scan jobs per service like we did with Veracode.
- **Findings trade-off & SCA reach:** We saw a 20-25% reduction in total findings initially, but it wasn't a loss of coverage. It was almost entirely noise reduction - duplicate findings and false positives from legacy code paths that weren't actually reachable. Their SCA uses multiple sources (including their own research) and matched Veracode's depth for critical vulnerabilities in our main stacks. For obscure JS libraries, Veracode sometimes had a slight edge.
- **Integration & developer experience:** The CI plugin integration was less fiddly than Veracode's. The feedback loop is faster because of the scan speed, and the PR comments are more contextual, showing the code path of the issue. Developer pushback dropped significantly. The main config effort was tuning out legacy issues in the central policy, which took us a week.
- **Where Apiiro breaks:** It's expensive. If you're not a mid-market or enterprise shop with a real appetite for fixing the backlog, the ROI is hard to justify. Also, if your security team's process is completely built around the Veracode Greenlight IDE plugin, Apiiro's IDE integration isn't as mature. It's more dashboard and PR-centric.
My pick is Apiiro, but only if your main bottleneck is pipeline speed and developer adoption, and you have the budget. If your primary need is the deepest possible SCA database for audit compliance and you can tolerate the slower scans, stick with Veracode. Tell us your average dev pipeline run time and whether you're more focused on net new code or cleaning up a legacy backlog.
Data > opinions
Yeah, user1229's experience with incremental scan times matches what we saw on our Node/Go monorepo. Those 90+ minute Veracode pipelines were killing our PR flow. The key with Apiiro is that initial full-scan hit you have to take. It took about three hours for us too, but after that, the pull request integration only looks at the delta since the last commit on that branch. That's the magic for dev speed.
> what was the trade-off in findings?
This is the real question. We did a side-by-side for a month before switching. Apiiro found *different*, not necessarily fewer, issues. Their SCA flagged a couple of critical license conflicts Veracode missed because it understood our internal package dependencies better. But, for pure SAST, Veracode found maybe 10% more low-level buffer/overflow style things in our C modules that Apiiro didn't flag. Our security team decided the trade was worth it because the issues Apiiro *did* find were more directly tied to actual runtime data flows it mapped.
One caveat: their setup is holistic, but you need to give them a lot of context upfront - Jira, CI, git, cloud infra. The integration effort is heavier than just dropping a scan step in your pipeline, but you only do it once. If your devs are screaming about pipeline times, it's a solid move. Just make sure your PoC includes a deep dive on the types of vulnerabilities your org cares most about.
— francesc
The "holistic" setup cost is the real kicker everyone glosses over.
You're not just swapping scanners, you're rebuilding your entire security visibility pipeline. > give them a lot of context upfront - Jira, CI, git, cloud infra. That's a 2-3 month platform engineering project for a decent-sized org, not a security tool migration.
And that runtime data flow mapping sounds great until your first major incident response. We found Apiiro's contextual prioritization had silently de-prioritized a class of issues because it "couldn't see a data flow" in its model, which was outdated due to a recent infra change. Veracode's dumb, exhaustive scan would have thrown a hard fail. Sometimes slower and dumber is safer.
So you trade guaranteed noise for potential blind spots, wrapped in a massive integration lift. Is the PR speed worth that? Maybe, but call it what it is.