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Security teams are buried in vulnerability data. Every scan produces a flood of CVEs, each tied to a specific package version in a specific layer of your container. But the true cost of these findings isn’t just the security risk—it’s the hours of manual work required to validate, fix, and verify each one.
Across our user base and industry benchmarks, we’ve found that the average time spent per vulnerability is around three hours—regardless of severity. Whether it’s a low or a critical, the process looks the same:
- Understand what was flagged: which package, which version, and which CVE.
- Determine if it’s real: is this a true vulnerability or a false positive?
- If it’s real, investigate how to fix it: is there an upstream update? Is it compatible?
- If there’s no upstream fix, your options are limited—unwrap the image and patch in place (something most teams avoid or don’t even know how to do) or wait.
- If it’s not exploitable, you still need to justify why—document it, convince others, and explain it to auditors later.
For all the talk about modernizing application security, the workflow for fixing container vulnerabilities is still fundamentally broken. Open source scanners flag hundreds of issues in every image, but from there, the process breaks down into hours of manual triage—most of it spent trying to figure out whether a vulnerability even matters.
And that’s the part no one talks about: the cost in time.
Time = Money. Don’t Waste It.
Three hours per vulnerability adds up fast. Multiply that across dozens—or hundreds—of findings, and you’re looking at days of lost engineering time each week. Security teams triage. Developers trace dependencies. And many spend entire afternoons proving a CVE is a false positive just to confidently ignore it.
And when it is real? That kicks off an even longer path: checking for patches, testing version bumps for compatibility, and in some cases, unwrapping the image to hand-edit packages deep in your OS layer. That’s a rabbit hole nobody wants to go down—but one that teams fall into every day.
All that for just one CVE.
Now zoom out. If your base image has 20 vulnerabilities, that’s 60 hours of work—nearly eight full workdays for a single engineer. And that’s all before the first line of application code is even reviewed for security.
This is the Problem Root Was Built to Fix
Root doesn’t hand you a backlog—it removes it. If a vulnerability is patchable, Root applies the patch automatically. If not, Root tracks it and remediates it as soon as a fix becomes available. No chasing fixes. No debates. No waiting.
This isn’t about nicer UX—it’s about productivity at scale.
Traditional vulnerability workflows are reactive by nature. A new CVE pops up, and suddenly the sprint is derailed. Engineers are pulled into investigation mode, forced to context switch from product work to patching logic, documentation, and risk justification. Multiply that across a week or two, and you’ve lost not just time—but momentum.
Root shifts that model entirely. Instead of reacting to security events after the fact, remediation happens proactively—before vulnerabilities ever make it into production, and often before anyone on the team even knows they existed. No fire drills. No last-minute triage. No interruptions.
Root gives your engineers back the time they’d normally spend chasing CVEs so they can focus on building, fixing, and shipping incredible features.
And this isn’t theoretical. Based on standard remediation workflows and real-world CVE data, Root consistently saves three hours of work per vulnerability. That’s what happens when you move from reactive security to automated remediation—when you stop managing vulnerabilities, and start eliminating them.
Don’t take our word for it. Check out our product and how much time we’ll save you today: app.root.io