What is the best way to introduce automated vulnerability scanning into a legacy codebase where developers ignore terminal warnings and security tickets?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What is the best way to introduce automated vulnerability scanning into a legacy codebase where developers ignore terminal warnings and security tickets?
1 real search · 1 real-search pass
GitHub code scanning pull request alerts baseline legacy codebase security scanning incremental adoption documentationGoogle ↗
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
GitHub code scanning pull request alerts baseline legacy codebase security scanning incremental adoption documentation Google ↗
- Code scanning alerts · docs.github.com
- Triaging code scanning alerts in pull requests · docs.github.com
- Semgrep documentation · semgrep.dev
- OSV-Scanner documentation · google.github.io