Question

A security architect at a fintech company wants CodeQL analysis to reflect the organization's elevated risk tolerance for injection and cryptographic weaknesses, while suppressing noisy maintainability-related alerts that developers routinely ignore. The team already runs default setup across 200 repositories but finds the standard query set produces too many low-value results and misses some deeper security patterns. Which approach best tailors detection to the organization's risk profile without abandoning centralized management?

Accepted Answer

Switch the affected repositories to advanced setup and configure a code scanning configuration file that runs the security-extended query suite, then use query filters to exclude the specific low-severity queries the team considers noise

Answer

Keep default setup but dismiss every low-value alert individually with the 'won't fix' reason so future scans stop reporting them

Answer

Disable CodeQL entirely on the 200 repositories and rely solely on Dependabot and secret scanning to reduce alert volume

Answer

Lower the severity threshold in branch protection so that only critical alerts block merges, leaving all other detection unchanged