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

DevFeed: [The Next Era of AppSec: Why AI-Generated Code Needs Offensive Dynamic Testing](<https://devfeed.tech/articles/the-next-era-of-appsec-why-ai-generated-code-needs-offensive-dynamic-testing-8210.md>)

Original publisher: [Read original article](<https://snyk.io/blog/the-next-era-of-appsec-why-ai-generated-code-needs-offensive-dynamic-testing/>)

Author: Nuno Loureiro

Published: 2026-03-20T00:00:00Z

Content type: opinion

Language: en

Sources: [Blog RSS Feed | Snyk](<https://devfeed.tech/sources/blog-rss-feed-snyk.md>)

Topics: [Application Security](<https://devfeed.tech/topics/application-security.md>), [AI-assisted coding](<https://devfeed.tech/topics/ai-assisted-coding.md>)

Tags: [agentic](<https://devfeed.tech/tags/agentic.md>), [ai](<https://devfeed.tech/tags/ai.md>), [analysis](<https://devfeed.tech/tags/analysis.md>), [api](<https://devfeed.tech/tags/api.md>), [authentication](<https://devfeed.tech/tags/authentication.md>), [awareness](<https://devfeed.tech/tags/awareness.md>), [backend](<https://devfeed.tech/tags/backend.md>), [blog](<https://devfeed.tech/tags/blog.md>), [code](<https://devfeed.tech/tags/code.md>), [executive](<https://devfeed.tech/tags/executive.md>), [interest](<https://devfeed.tech/tags/interest.md>), [microservices](<https://devfeed.tech/tags/microservices.md>), [pmm](<https://devfeed.tech/tags/pmm.md>), [security](<https://devfeed.tech/tags/security.md>), [snyk-code](<https://devfeed.tech/tags/snyk-code.md>), [testing](<https://devfeed.tech/tags/testing.md>)

## AI overview

The article argues that AI-driven development has outpaced security validation. It says advanced static analysis can identify potential flaws, but offensive dynamic testing is needed to determine what is exploitable in live, distributed applications.

## Source excerpt

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.