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

2026-03-20T20:52:00Zec4b8af55ff0d80ad0ca5c189688e0bbe6789710a5ad4053d65552be20d6be7a
agent-securityagent-skills-registryai-generated-codeappsecattack-surfacecursordastdynamic-testinginnovation-hubllm-securityoffensive-testingprompt-securitysecurity-scoringsnyksupply-chain-securitytesslundocumented-apis

What happened

Snyk highlights the rising AppSec risks introduced by AI-generated code and autonomous agents, arguing that static analysis alone is insufficient and that offensive dynamic testing (DAST/active testing) combined with code-level context is needed to determine what is actually exploitable. They cite findings such as ~62% of LLM-generated code testing as insecure and note agents using undocumented APIs expand the attack surface. The posts also announce Snyk initiatives: an AI-powered dynamic testing approach, a San Francisco innovation hub, a partnership with Tessl to add Snyk security scores to

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
snyk_blog
Record identifier
ec4b8af55ff0d80ad0ca5c189688e0bbe6789710a5ad4053d65552be20d6be7a
Enrichment time
2026-03-20T20:52:00Z
AI-assisted enrichment
Yes

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