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Technology

Zscaler Private Access

Last fetched

Zscaler Private Access is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under identity and access management, with a published adopter count of 554 hostnames.

Profile

Broader grouping
security
Published adopter count
554

Zscaler Private Access (ZPA) is a cloud-based service that provides secure remote access to internal applications without the need for traditional VPNs. It enables organizations to connect users to applications based on identity and context, ensuring that only authorized users can access specific resources while maintaining a zero-trust security model.

Vendor site: https://www.zscaler.com/products/zscaler-private-access

Sample adopters

20 hostnames WhisperGraph observed running Zscaler Private Access, a sample of the 554 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 20 Zscaler Private Access adopters, not of all 554 published adopters. A hostname counts once per network.

Related pages

Pivot from Zscaler Private Access 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.