Threat actor
Watrix Technology
Last fetched
Watrix Technology is a threat actor tracked in WhisperGraph's MITRE ATT&CK corpus, observed using 0 techniques.
Description
Watrix Technology is a Chinese AI company that develops advanced computer vision and large scale video data analysis products. Founded in 2016, Watrix has developed a proprietary gait recognition system capable of identifying individuals based on their walking patterns from distances up to 50 meters, including when their face is obscured or turned away. Chinese police forces in cities like Beijing and Shanghai have utilized Watrix's gait recognition system to monitor public spaces and identify individuals without relying on facial recognition. In 2022, it was reported that Watrix and another Chinese surveillance firm, GEOAI, used Nvidia chips to train AI patrol drones and systems designed to identify people by their walk.
Techniques by tactic
No ATT&CK techniques are recorded for Watrix Technology in WhisperGraph.
Attributed infrastructure
None published. WhisperGraph carries no ATTRIBUTED_TO edge to Watrix Technology today — this states the absence of a published link, not that Watrix Technology has no infrastructure.
References
- https://businessmirror.com.ph/2019/02/23/companies-behind-chinas-high-tech-surveillance-state/
- https://www.scmp.com/tech/start-ups/article/2187600/chinese-police-surveillance-gets-boost-ai-start-watrix-technology-can
- https://www.ap.org/news-highlights/spotlights/2025/silicon-valley-enabled-brutal-mass-detention-and-surveillance-in-china-internal-documents-show/
- https://www.abc.net.au/news/2018-11-06/chinese-gait-recognition-tech-ids-people-by-how-they-walk/10469974
- https://www.wired.com/story/surveillance-technology-biometrics/
© The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation.
Related pages
Pivot from Watrix Technology into its techniques, tactics and any attributed infrastructure.
Queries
Resolves the slug to this actor, merging every duplicate node sharing the same name.
MATCH (a:ACTOR)
WHERE a.name =~ $pattern OR any(x IN a.aliases WHERE x =~ $pattern)
RETURN a.id AS id, a.name AS name, a.aliases AS aliases, a.description AS description,
a.references AS references, a.campaigns AS campaigns
LIMIT 25Run yourself →Techniques this actor uses, grouped by the tactic each one serves.
MATCH (a:ACTOR {name: $name})-[:USES_TECHNIQUE]->(t:ATTACK_PATTERN)
OPTIONAL MATCH (t)-[:USES_TACTIC]->(tac:ATTACK_PATTERN)
RETURN t.id AS techniqueId, t.name AS techniqueName, tac.id AS tacticId, tac.name AS tacticName
LIMIT 1000Run yourself →Infrastructure publicly attributed to this actor.
MATCH (n)-[:ATTRIBUTED_TO]->(a:ACTOR {name: $name})
RETURN labels(n)[0] AS kind, n.name AS name
LIMIT 25Run yourself →Or query Whisper from your own LLM workflow via the Whisper MCP server.