> Looks like every single one of the 38 vulnerabilities were either SQL injection, XSS, path traversal or "Insecure Direct Object Reference" aka failing to check the caller was allowed to access the record.
Seems like code review against a checklist of the most common vulnerabilities would have prevented these problems. So I guess there are two takeaways here:
First, AI scanners are useful for catching security problems your team has overlooked.
Second, maintaining a checklist of the most-common vulnerabilities and using it during code review is likely to not only prevent most of the problems that AI is likely to catch, but also show your development team many of their security blind spots at review time and teach them how to light those areas. That is, the team learns how to avoid creating those security mistakes in the first place.
Seems like code review against a checklist of the most common vulnerabilities would have prevented these problems. So I guess there are two takeaways here:
First, AI scanners are useful for catching security problems your team has overlooked.
Second, maintaining a checklist of the most-common vulnerabilities and using it during code review is likely to not only prevent most of the problems that AI is likely to catch, but also show your development team many of their security blind spots at review time and teach them how to light those areas. That is, the team learns how to avoid creating those security mistakes in the first place.