The Next Era of AppSec: Why AI-Generated Code Needs Offensive Dynamic Testing
2026-03-23T08:52:02Z•a7d48728474fb9e2911264b5a9aea15840a2418eb09ae118ad8e9e17bfa6af4f
agent-registryai-securityapplication-securityattack-surfacecursordevsecopsdynamic-testingllmssnykstatic-analysissupply-chaintessl
What happened
A set of Snyk blog posts highlighting that AI-generated code and agent ecosystems are significantly expanding the software attack surface. Snyk reports that a large portion of LLM-generated code tests as insecure (~62%), argues static analysis alone is insufficient, and advocates combining code-level context with offensive dynamic testing (runtime/exploit testing) to determine what is actually exploitable. Snyk also announces ecosystem actions: a San Francisco innovation hub, a partnership with Tessl to add Snyk security scores to the Tessl Agent Skills Registry (bringing package-manager-like信
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- snyk_blog
- Record identifier
- a7d48728474fb9e2911264b5a9aea15840a2418eb09ae118ad8e9e17bfa6af4f
- Enrichment time
- 2026-03-23T08:52:02Z
- AI-assisted enrichment
- Yes
This record may overlap with other records. Its enrichment can be incomplete or wrong, and machine assistance was used. Validate consequential decisions against the linked source and your own environment.