Threat actor
IntelliVision
Last fetched
IntelliVision is a threat actor tracked in WhisperGraph's MITRE ATT&CK corpus, observed using 0 techniques.
Description
IntelliVision is a video analytics company that provides AI and Deep Learning-based surveillance technologies for use with CCTV cameras. It also offers an ALPR system for license plate detection, recognition and search. The company primarily works with law enforcement agencies. In 2024, IntelliVision was acquired by Nipun Vision. In 2025, the Federal Trade Commission took action against the company for making false, misleading, or unsubstantiated claims about its AI-powered facial recognition software.
Techniques by tactic
No ATT&CK techniques are recorded for IntelliVision in WhisperGraph.
Attributed infrastructure
None published. WhisperGraph carries no ATTRIBUTED_TO edge to IntelliVision today — this states the absence of a published link, not that IntelliVision has no infrastructure.
References
- https://www.biometricupdate.com/201901/intellivision-beefs-up-its-face-recognition-tech-with-liveness-detection
- https://www.ftc.gov/news-events/news/press-releases/2025/01/ftc-finalizes-order-prohibiting-intellivision-making-deceptive-claims-about-its-facial-recognition
- https://www.intelli-vision.com/facial-recognition/
- https://www.asmag.com/showpost/23966.aspx
- https://www.traffictechnologytoday.com/news/machine-vision-alpr/intellivision%C2%92s-new-ai-deep-learning-based-lpr-engine-achieving-near-perfect-accuracy.html
- https://www.prweb.com/releases/leading-video-ai-vendor-intellivision-acquired-by-nipun-vision-302295448.html
- https://www.intelli-vision.com/wp-content/uploads/2017/09/face_reco.pdf
© The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation.
Related pages
Pivot from IntelliVision 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.