What if your security scanner fixed the code too?
Every developer who has wired up a SAST tool knows the letdown. You get 200 findings, spend a day triaging, and the four that actually mattered were the ones your single engine silently skipped.
The tool was not wrong. One rule set models risk through one lens, so its blind spots become your blind spots.
The change that worked for us was to stop trusting one scanner and run nine security engines in parallel. Each one models a different slice of the OWASP Top 10 and the CWE space, so their gaps do not overlap.
Then an AI layer proposes a fix for what it catches, often in about a minute. You still own the verdict. The scanner just stops eating your afternoon on the obvious stuff.
Concrete case: on a Python service, one engine flagged an SQL injection in a logging helper that Bandit had scored clean. Parallel coverage caught it, and the suggested fix was a parameterized query we dropped in and re-ran in under 60 seconds.
The 243 findings versus the 4 that mattered is the whole argument for multi-engine. Run two or three scanners before you trust a clean result.
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