Can automated vulnerability scanning for DevOps actually catch zero-day exploits before code hits production, or is it mostly for known CVEs?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Can automated vulnerability scanning for DevOps actually catch zero-day exploits before code hits production, or is it mostly for known CVEs?
1 real search · 1 real-search pass
DevSecOps vulnerability scanning zero-day detection SAST DAST limitations OWASP NIST SSDFGoogle ↗
OBSERVEDOther / navigational
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
DevSecOps vulnerability scanning zero-day detection SAST DAST limitations OWASP NIST SSDF Google ↗
- Static Application Security Testing (SAST) · owasp.github.io
- Dynamic Application Security Testing (DAST) · owasp.github.io
- Overview · owasp.github.io
- Strategies for the Integration of Software Supply Chain Security in DevSecOps CI/CD Pipelines · nvlpubs.nist.gov