Threat actor
FaceFirst
Last fetched
FaceFirst is a threat actor tracked in WhisperGraph's MITRE ATT&CK corpus, observed using 0 techniques.
Description
FaceFirst, also known as Airborne Biometrics, is a developer of facial recognition and surveillance technologies, providing automated face-matching systems for use in retail, airports, stadiums, military bases and at border checkpoints. Its facial recognition technology has increasingly been deployed in retail stores without customer knowledge or consent. The system scans shoppers' faces as they enter stores, comparing them to databases of "dishonest customers" or "known shoplifters." The system also delivers customizable alerts and notifications to any device or workstation upon detecting a person of interest. The company claims to offer military-grade facial identification that seamlessly connects to a large central database tailored to the specific needs of the end user. In 2022, FaceFirst welcomed Edwin Coello, a former leader of the NYPD Real Time Crime Center, to its team.
Techniques by tactic
No ATT&CK techniques are recorded for FaceFirst in WhisperGraph.
Attributed infrastructure
None published. WhisperGraph carries no ATTRIBUTED_TO edge to FaceFirst today — this states the absence of a published link, not that FaceFirst has no infrastructure.
References
- https://www.facefirst.com/post/facefirst-s-guardian-airport-security-face-recognition-platform-helps-safeguard-borders
- https://www.buzzfeednews.com/article/leticiamiranda/retail-companies-are-testing-out-facial-recognition-at
- https://www.biometricupdate.com/201808/facefirst-facial-recognition-coming-to-thousands-of-u-s-retail-locations
- https://www.laserfocusworld.com/software-accessories/software/article/16549441/facefirst-partners-with-samsung-on-rapid-facial-recognition
- https://idtechwire.com/upgraded-facefirst-biometric-security-system-is-more-accurate-in-extreme-conditions/
- https://www.eff.org/deeplinks/2015/11/how-california-cops-use-mobile-biometric-tech-field
© The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation.
Related pages
Pivot from FaceFirst 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.