We are trying to understand how implementing zero trust architecture effectively works in practice without disrupting our existing remote workers who are not very tech-savvy.
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
We are trying to understand how implementing zero trust architecture effectively works in practice without disrupting our existing remote workers who are not very tech-savvy.
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
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
NIST SP 800-207 zero trust architecture implementation guidance phased deployment user experience remote workforce OBSERVED | Google ↗ AI Mode ↗ | — | Consequence | — | — | 1x of 1 | |
CISA zero trust maturity model implementation pillars identity devices networks applications workloads data OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |