Securing AI-Driven Development at Machine Speed: Webinar Insights

The article discusses the challenges of scaling software security practices to keep pace with AI-driven development, which can increase code output by 10-50 times. It highlights the need for new security models to prevent vulnerabilities from becoming a bottleneck in fast-paced AI development workflows.

AI is helping development teams produce far more code, far faster. But security teams still have to review vulnerabilities, manage dependencies, prioritize fixes, and control risk at human speed.

When software output jumps 10 to 50 times, the problem is no longer just finding vulnerabilities. It is keeping security from becoming the bottleneck, or worse, losing control of what gets shipped.

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