I've noticed a significant issue with our SAST setup where developers spend more time addressing false positives than actual vulnerabilities. Over a quarter, we realized that the ratio was so skewed that some engineering leads started to view the scan results as mere noise. They weren't completely ignored, but not acted upon either. When trust in the scanner erodes, real findings tend to be overlooked along with the false ones. We attempted to adjust the rules, which worked for a short time, but the same problems resurfaced in various forms. The core issue seems to be a lack of correlation; there's no system that aggregates scanning results across different types, adds context for exploitability, or filters what is genuinely important for developers.
I'm looking for advice from anyone who's faced similar challenges: how did you manage to rebuild developer trust in your scanning tools when it felt completely broken?
8 Answers
It's crucial to avoid auto-creating tickets from scanner output. Instead, have security triage first and only pass along legitimate findings with the context. It might slow things down a bit, but it's much better for maintaining developer trust, rather than having them tune everything out.
The correlation issue is where the real problem lies. Look into platforms that can aggregate findings across SAST, SCA, and DAST, applying contextual analysis to sort what's genuinely dangerous. For instance, Checkmarx uses ASPM to filter based on exploitability before developers ever see the findings, which really cuts down the noise.
Have you thought about implementing severity-based workflows? You could focus only on high-confidence findings for tickets and send everything else to a weekly security review. This way, you'd reduce interruptions for the developers while still addressing critical vulnerabilities. It's not a perfect solution but definitely less overwhelming than bombarding them with all the noise.
When developers start ignoring scanner results, it can feel like the security program is doomed. Just tuning rules won’t fix the trust issues.
Restoring developer trust is often tougher than fixing the technical issues. Even if the quality of findings improves, teams might still remember the times they ignored alerts. It really helps to be transparent about progress, show metrics on how false positives have decreased over time, and have security take the lead on triaging instead of just dropping raw output on developers. Consistent quality is key to rebuilding that trust.
From my vendor side experience, here’s what some companies did: They paused alerts in pipelines for a bit and manually triaged them to reduce fatigue, then slowly rolled out findings based on significant issues. It also helped to have strong security office hours to engage developers and foster relationships. The truth is, building trust takes time—there's no quick fix for it.
Exactly! It’s like the classic 'boy who cried wolf' scenario; the correlation layer you mentioned is crucial. It would be like having a bouncer for the scanner, filtering out the noise before it reaches developers.
Exactly! Reducing that initial flood of results can make a huge difference.
Consider starting a security champion program! Select one developer from each team to handle initial triage so that they can filter findings before they reach everyone else. This builds context and can really help to bridge the trust gap.
That sounds like a smart approach! It's like filtering out the distractions so the developers only focus on what really matters.