Threat actor
Rank One Computing
Last fetched
Rank One Computing is a threat actor tracked in WhisperGraph's MITRE ATT&CK corpus, observed using 0 techniques.
Description
Rank One Computing (ROC) is a U.S.-based provider of facial recognition and multimodal biometric technologies, used by government, defense, and law enforcement agencies. Capabilities of their products include facial recognition, fingerprint, and iris recognition, alongside AI-driven video analytics. They also provide license plate recognition tools. The company has been linked to bias and errors in facial recognition, with studies showing higher error rates for individuals with darker skin tones.
Techniques by tactic
No ATT&CK techniques are recorded for Rank One Computing in WhisperGraph.
Attributed infrastructure
None published. WhisperGraph carries no ATTRIBUTED_TO edge to Rank One Computing today — this states the absence of a published link, not that Rank One Computing has no infrastructure.
References
- https://www.themarshallproject.org/2024/11/12/protest-surveillance-technologies
- https://dailyjournal.com/articles/379954-the-two-secrets-of-facial-recognition-technology
- https://www.reuters.com/article/technology/face-recognition-vendor-vows-new-rules-after-wrongful-arrest-in-us-using-its-t-idUSKBN23W09Q/
- https://www.forensicmag.com/565875-Detroit-Police-Challenged-Over-Face-Recognition-Flaws-Bias/
- https://www.nbcnews.com/tech/security/facial-recognition-leads-first-wrongful-u-s-arrests-activists-say-n1231971
- https://www.nytimes.com/2020/06/24/technology/facial-recognition-arrest.html
© The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation.
Related pages
Pivot from Rank One Computing 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.