Your Scanner’s Accuracy Claims Are Only Half the Story
Brief
At some point, developers on your team stopped acting on security findings. Not because they stopped caring about security, but because they learned that most findings are not real. A scanner flooded the queue with so much noise that ignoring it became the rational response.
The question is how did that happen, and how can you evaluate if your next tool will do the same thing?
It comes down to how vendors measure accuracy.
A scanner can lower its false positive count by simply flagging fewer things, but this means real vulnerabilities are passing through undetected. A scanner can also raise its detection rate by flagging everything, but this means your developers spend their time chasing noise until they stop looking at findings altogether. Both outcomes look fine on the summary slide – but neither is fine in practice.