Running multiple SAST engines in parallel with AI-proposed fixes

Short summary

The author argues that single-engine SAST tools have blind spots that become your blind spots, and advocates running nine security scanners in parallel so their gaps don't overlap. An AI layer then proposes fixes for caught issues, often within a minute. A concrete example shows parallel coverage finding an SQL injection in a Python logging helper that Bandit had scored clean.

• •Running multiple SAST engines in parallel covers blind spots no single scanner catches
• •An AI layer proposes fixes for findings, often in about a minute
• •Concrete case: parallel engines found an SQL injection Bandit missed

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