Threat actor
SenseTime
Last fetched
SenseTime is a threat actor tracked in WhisperGraph's MITRE ATT&CK corpus, observed using 0 techniques.
Description
SenseTime is a leading Chinese AI company specializing in facial recognition and computer vision technologies. Their advanced algorithms enable real-time detection of faces and objects. It has been under scrutiny for its role in Uyghur surveillance.
Techniques by tactic
No ATT&CK techniques are recorded for SenseTime in WhisperGraph.
Attributed infrastructure
None published. WhisperGraph carries no ATTRIBUTED_TO edge to SenseTime today — this states the absence of a published link, not that SenseTime has no infrastructure.
References
- https://www.theguardian.com/world/2022/jan/06/china-sensetime-facial-recognition-uyghur-surveillance-us-sanctions
- https://bhr.stern.nyu.edu/toolkit/silverlake-in-china-investor-responsibility-for-state-surveillance-in-xinjiang/
- https://www.washingtonpost.com/technology/2021/12/10/us-investment-ban-sensetime/
- https://thehustle.co/facial-recognition-company-sensetime-worth-4-5-billion
- https://discovery.hgdata.com/product/sensetime
- https://www.aspi.org.au/report/mapping-more-chinas-tech-giants
- https://www.nytimes.com/2019/04/14/technology/china-surveillance-artificial-intelligence-racial-profiling.html
- https://www.intelligenceonline.com/surveillance--interception/2021/06/25/alpha-intelligence-capital-invests-in-european-and-chinese-cyber-intelligence,109675683-art
© The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation.
Related pages
Pivot from SenseTime 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 25Techniques 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 1000Infrastructure publicly attributed to this actor.
MATCH (n)-[:ATTRIBUTED_TO]->(a:ACTOR {name: $name})
RETURN labels(n)[0] AS kind, n.name AS name
LIMIT 25Or query Whisper from your own LLM workflow via the Whisper MCP server.