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Threat actor

DeepGlint

Last fetched

DeepGlint is a threat actor tracked in WhisperGraph's MITRE ATT&CK corpus, observed using 0 techniques.

Description

DeepGlint is a Beijing-based artificial intelligence company that develops computer vision and facial recognition technology. The company's systems can identify individuals and vehicles from distances up to 50 meters and alert authorities to specific activities. Its technology has been used by police agencies throughout China to track down individuals and for monitoring purposes. In 2021, the United States sanctioned DeepGlint for its involvement in human rights abuses, particularly related to the surveillance of Uyghur and other communities in China. It received early backing from Silicon Valley investor Sequoia Capital and became the first AI company listed on the Shanghai Stock Exchange STAR Market. DeepGlint has a documented association with Microsoft through its participation in the Microsoft for Startups program. The program provided the company with resources such as Azure credits, mentorship, and office space.

Techniques by tactic

No ATT&CK techniques are recorded for DeepGlint in WhisperGraph.

Attributed infrastructure

None published. WhisperGraph carries no ATTRIBUTED_TO edge to DeepGlint today — this states the absence of a published link, not that DeepGlint has no infrastructure.

References

© The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation.

Related pages

Pivot from DeepGlint 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 25
Run 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 1000
Run 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 25
Run yourself →

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