Skip to content
Install MCP

Technology

Arista NDR

Last fetched

Arista NDR is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under network security, with a published adopter count of 13 hostnames.

Profile

Category
network security
Broader grouping
security
Published adopter count
13
Vendor
arista.com

Arista NDR is a network detection and response platform that analyzes network traffic to identify behavioral anomalies, malicious intent, and compliance issues. It provides full forensic context for security incidents using federated machine learning, threat intelligence, and expert analysis to enable organizations to detect and visualize threats efficiently.

Vendor site: https://www.arista.com/en/products/network-detection-and-response

Sample adopters

12 hostnames WhisperGraph observed running Arista NDR, a sample of the 13 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 12 Arista NDR adopters, not of all 13 published adopters. A hostname counts once per network.

Related pages

Pivot from Arista NDR into its category and the vendor behind it.

Queries

Resolves the slug's technology-name candidate(s) and projects the winner's fields.


MATCH (t:TECHNOLOGY)
WHERE t.name =~ $pattern
WITH t ORDER BY t.adopterCount DESC, t.name ASC
WITH collect(t)[0] AS winner, count(t) AS candidates
RETURN winner.name AS name,
       winner.description AS description,
       winner.category AS category,
       winner.parentCategories AS parentCategories,
       winner.adopterCount AS adopterCount,
       winner.url AS url,
       winner.vendorApex AS vendorApex,
       candidates
Run yourself →

Reads a 20-host adopter sample and the ASNs announcing its IP addresses.


MATCH (:TECHNOLOGY {name: $name})<-[:RUNS_TECHNOLOGY]-(h:HOSTNAME)
WITH h LIMIT 20
OPTIONAL MATCH (h)-[:RESOLVES_TO]->(:IPV4)-[:ANNOUNCED_BY]->(ap:ANNOUNCED_PREFIX)
OPTIONAL MATCH (a:ASN)-[:ROUTES]->(ap) WHERE a.name IS NOT NULL
RETURN h.name AS host, a.name AS asn
LIMIT 200
Run yourself →

Or query Whisper from your own LLM workflow via the Whisper MCP server.