How do hackers move laterally across a network and what tools are best for catching them early on?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do hackers move laterally across a network and what tools are best for catching them early on?
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
CISA lateral movement detection network monitoring endpoint detection logging MITRE ATT&CK data sources Google ↗
Microsoft Defender for Endpoint advanced hunting lateral movement detection documentation Google ↗
- Official documentation · learn.microsoft.com
- Official website · splunk.com
- Official website · crowdstrike.com
- Official website · zeek.org
- Official website · wazuh.com
- Official website · suricata.io
- Lateral Movement framework · attack.mitre.org
- Hunting graph in Microsoft Defender advanced hunting - Microsoft Defender XDR · learn.microsoft.com
- Identifying and Mitigating Living Off the Land Techniques · cyber.gov.au
- Exploitation of Remote Services – multi-platform lateral movement detection, Detection Strategy DET0118 · attack.mitre.org
- Data Components · attack.mitre.org
- Detection Strategies · attack.mitre.org
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
CISA lateral movement detection network monitoring endpoint detection logging MITRE ATT&CK data sources OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Microsoft Defender for Endpoint advanced hunting lateral movement detection documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |