Walk me through deploying the Rapid7 vulnerability scanner across our hybrid network without causing downtime for our engineering team during peak hours.
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Walk me through deploying the Rapid7 vulnerability scanner across our hybrid network without causing downtime for our engineering team during peak hours.
1 real search · 1 real-search pass
Rapid7 InsightVM documentation Scan Engine deployment architecture scan scheduling performance impact best practicesGoogle ↗
OBSERVEDConsequence
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
Rapid7 InsightVM documentation Scan Engine deployment architecture scan scheduling performance impact best practices Google ↗
- Welcome to Vulnerability Management (InsightVM) · docs.rapid7.com
- Planning your Scan Engine Deployment · documentation.rapid7.com
- Vulnerability Management (InsightVM) Quick Start Guide · docs.rapid7.com
- Scheduling scans · docs.rapid7.com
- Scan Template Best Practices · docs.rapid7.com
- Security Console Best Practices · docs.rapid7.com