Why do engineers on Reddit always complain about false positive rates in Tenable Nessus vulnerability scans for small business setups?
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The searches the AI actually ran for this prompt.
SEED QUERY
Why do engineers on Reddit always complain about false positive rates in Tenable Nessus vulnerability scans for small business setups?
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.
Classifying 2 queries…
Searches and sources
ChatGPT2 real searches · gpt-6
site:reddit.com/r/sysadmin Nessus false positives small business vulnerability scans false positive rate Google ↗
Tenable Nessus false positives credentialed scans plugin accuracy false positives documentation Google ↗
- Nessus, Part 3: Analysing Reports · ptacts.uspto.gov
- Vulnerability Assessment/Scanning · docs.tenable.com
- Tenable Nessus Credentialed Checks (Tenable Nessus 10.12) · docs.tenable.com
- Improvement: Handling Component Installs for Vulnerability Assessment · connect.tenable.com
- Improvement: Handling Component Installs for Vulnerability Assessment · connect.tenable.com
- Tenable Nessus 10.12.x User Guide · docs.tenable.com
- Tenable Nessus 10.9.x User Guide · docs.tenable.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
site:reddit.com/r/sysadmin Nessus false positives small business vulnerability scans false positive rate OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Tenable Nessus false positives credentialed scans plugin accuracy false positives documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |