Which npm vulnerability scanner has lower false positives in a CI pipeline between npm audit and Snyk open source
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Which npm vulnerability scanner has lower false positives in a CI pipeline between npm audit and Snyk open source
2 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.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
npm audit vs Snyk Open Source false positives accuracy reachability analysis npm CI official docs Google ↗
Snyk Open Source package vulnerability database npm audit advisory database false positives official documentation Google ↗
- Auditing package dependencies for security vulnerabilities · docs.npmjs.com
- user-docs/scan-fix-and-prevent/scan-with-snyk/snyk-open-source/manage-vulnerabilities/differences-in-open-source-vulnerability-counts-across-environments.md at main · snyk/user-docs · github.com
- Improvements to Reachability for Snyk Open Source 🎉 · updates.snyk.io
- npm-audit · docs.npmjs.com
- npm-audit · docs.npmjs.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
npm audit vs Snyk Open Source false positives accuracy reachability analysis npm CI official docs OBSERVED | Google ↗ AI Mode ↗ | — | Comparison | — | — | 1x of 1 | |
Snyk Open Source package vulnerability database npm audit advisory database false positives official documentation OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |