This blog post discusses the comparative advantages of Static Application Security Testing (SAST) versus AI-based (LLM) security scanners in software development workflows. It argues that while LLMs can identify nuanced security issues based on context, they are less consistent and more costly to run at scale compared to SAST, which offers predictable results and is cheaper per scan. It concludes that the best approach is to use both scanning methods in tandem: SAST for consistency and cost-effectiveness, and LLMs for more complex, context-sensitive vulnerabilities.