Static analysis tells you what might be vulnerable, but dynamic testing tells you what is actually exploitable. Learn why the next era of AppSec requires combining code-level context with live environment testing to secure AI-generated code.

Snyk's blog is a source of information and advice for developers looking to ensure the security of their software applications. From vulnerability management and secure coding practices to compliance standards and threat intelligence, it covers a wide range of topics relevant to software security. Through practical tips, case studies, and expert commentary, the blog empowers developers to identify and address security vulnerabilities in their code, helping them build and maintain secure software applications in today's threat landscape.

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Static analysis has improved dramatically with AI-powered tools, but it still cannot observe how distributed systems behave at runtime. Dynamic Security Testing (DAST) fills this gap by validating whether vulnerabilities are actually exploitable when all components interact in a live environment. AI-generated code introduces new risks like broken authorization, business logic flaws, and cross-component state failures that only emerge at runtime. Traditional DAST engines excel at exhaustive mechanical coverage, while AI-driven pentesting tools find complex logic flaws — and the future lies in combining both. The next evolution is grey-box testing: correlating live dynamic findings with source code context to both prove exploitability and pinpoint the exact code that needs fixing.

The Next Era of AppSec: Why AI-Generated Code Needs Offensive Dynamic Testing - SEO

Code analysis got dramatically smarter. It's still not enough.

Fix Vulnerabilities Faster: The Power of AI-Driven SAST and DAST Correlation