We need automated vulnerability scanning for our DevOps pipeline that integrates with GitHub Actions and runs in under ten minutes starting today
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
We need automated vulnerability scanning for our DevOps pipeline that integrates with GitHub Actions and runs in under ten minutes starting today
3 real searches · 1 real-search pass
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.
Classifying 3 queries…
Searches and sources
ChatGPT3 real searches · gpt-6
Trivy GitHub Actions official setup cache filesystem scan documentation Google ↗
Semgrep GitHub Actions official CI documentation scan Google ↗
Gitleaks GitHub Action official repository usage Google ↗
- Trivy GitHub Action · github.com
- Semgrep CI documentation · semgrep.dev
- Gitleaks GitHub Action · github.com
- trivy-action/README.md at master · aquasecurity/trivy-action · github.com
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Trivy GitHub Actions official setup cache filesystem scan documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Semgrep GitHub Actions official CI documentation scan OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Gitleaks GitHub Action official repository usage OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |