What should a small engineering team look for when choosing a solution for automated vulnerability scanning for DevOps to catch critical bugs early?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What should a small engineering team look for when choosing a solution for automated vulnerability scanning for DevOps to catch critical bugs early?
1 real search · 1 real-search pass
DevSecOps vulnerability scanning CI/CD best practices SAST SCA secrets container IaC OWASP NIST false positives prioritizationGoogle ↗
OBSERVEDReason
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 CI/CD best practices SAST SCA secrets container IaC OWASP NIST false positives prioritization Google ↗
- Static Application Security Testing (SAST) · owasp.github.io
- DevSecOpsGuideline/current-version/1-People/1-2-Training/1-2-2-Security-CICD.md at master · OWASP/DevSecOpsGuideline · github.com
- Strategies for the Integration of Software Supply Chain Security in DevSecOps CI/CD Pipelines · nvlpubs.nist.gov
- Official website · snyk.io
- Official website · github.com
- Official website · about.gitlab.com
- Official website · semgrep.dev
- Official website · trivy.dev
- Overview · owasp.github.io
- OWASP DevSecOps Guideline · owasp.org
- Container Scanning · owasp.github.io