How to secure AI-generated code before it ships

AI-generated code is transforming software development, boosting output but introducing vulnerabilities traditional AppSec tools miss. As large language models co-author code, security gaps arise at creation—long before post-commit scans can catch them. The challenge is evolving the SDLC fast enough to address AI-assisted coding risks.

This guide helps evaluate AI AppSec solutions that secure code at creation. Key criteria include:

· Real-time validation to catch unsafe patterns pre-commit
· Developer-friendly integration to maintain workflow
· Policy frameworks aligning intent with machine behavior

Learn to choose AppSec tools for the AI coding era.