

Picture this:
You just rolled out a shiny new software composition analysis (SCA) tool after months of effort. It churns out its first report, and the results are worse than you imagined: 5,000 critical vulnerabilities across your repositories. You present this data, expecting urgency, but instead, you’re met with apathy, excuses, or worse—disbelief.
Here’s the hard truth: the lack of urgency? That’s on how the data was presented. Security engineers often use a “shock and awe” approach, dumping all the vulnerabilities at once, hoping the sheer volume will drive action. Spoiler alert: it doesn’t.
I’ve been on the receiving end of a 5,000-critical-vulnerability report before. It felt like a kick in the shin. When people feel attacked, their amygdala lights up. When that happens, one of four responses typically follows:
The good news is that there is a better way. You can transform your approach and motivate developers to take real ownership of these vulnerabilities.
“If these 5,000 critical vulnerabilities haven’t caused major breaches yet, how critical can they really be?”
They’re not wrong. Vulnerable libraries often sit unnoticed for years without immediate consequences. Plus, fixing outdated libraries introduces risk: updates can break things and cause downtime.
Lack of Visibility and Tooling: Developers may not have access to the SCA tools or the training to interpret the data.
Complexity of Transitive Dependencies: Vulnerabilities often exist in dependencies of dependencies, hidden layers that are tough to untangle.
Metrics Overload: Reports that dump raw numbers without context feel insurmountable. A giant number like “5,000 criticals” doesn’t inspire action—it inspires avoidance.
Here’s how.
“You have 5,000 critical risk vulnerabilities that need to be patched within 30 days.”
-or-
“You have 10 outdated libraries that, if updated, will resolve 3,500 critical risk vulnerabilities.”
The trick is to group vulnerabilities by library. Most organizations reuse the same libraries across applications, meaning a handful of fixes can significantly reduce risk.
Once you’ve grouped the vulnerabilities, assess how outdated the libraries are. This paints a picture of the service’s overall health.
End-of-life packages (no longer supported or patched).
Libraries older than the company itself.
Notorious vulnerabilities (e.g. Log4J v1.x).
Problematic licenses (e.g. libraries with non-commercial licenses).

Once you’ve grouped the data and shown package age, something magical happens: developers see a path forward.
Builds Understanding and Trust: You’ve demonstrated that you know the data inside and out. Developers, leaders, and auditors will feel confident in the information you’re presenting.
Turns Panic into Progress: Instead of overwhelming developers with raw counts, you give them a prioritized list that feels manageable. A “Top 10 Vulnerable Packages” list is far more actionable than “5,000 vulnerabilities.”
Stop the shock and awe. By grouping vulnerabilities, assessing package age, and presenting actionable next steps, you can transform overwhelming SCA reports into manageable plans. Developers want to do the right thing—your job is to help them see the path forward.
