Threat actor
Inex Technologies
Last fetched
Inex Technologies is a threat actor tracked in WhisperGraph's MITRE ATT&CK corpus, observed using 0 techniques.
Description
Inex Technologies provides Automated License Plate Recognition (ALPR) systems for law enforcement agencies. Their cameras use neural network-based video analytics to process images on-board and output license plate numbers, reference images, and confidence scores. According to the company, this AI-powered processing enables real-time analysis at 40 FPS in their mobile systems, allowing for immediate identification and alerts on watchlisted vehicles. In 2006, Inex Technologies acquired Zamir Recognition Systems. They rebranded as INEX/ZAMIR while operating from headquarters in both Israel and the U.S, but the company currently goes by the name Inex Technologies.
Techniques by tactic
No ATT&CK techniques are recorded for Inex Technologies in WhisperGraph.
Attributed infrastructure
None published. WhisperGraph carries no ATTRIBUTED_TO edge to Inex Technologies today — this states the absence of a published link, not that Inex Technologies has no infrastructure.
References
- https://resources.nvidia.com/en-us-metropolis-software-success-stories/solution-showcase-revolutionizes
- https://inextechnologies.com/law_enforcement/
- https://www.prnewswire.com/news-releases/the-israel-national-police-awards-alpr-systems-contract-to-inexzamir-234584441.html
- https://www.securityworldmarket.com/int/Newsarchive/zamir-and-inex-unites
- https://www.officer.com/command-hq/technology/traffic/lpr-license-plate-recognition/product/10227230/on-net-surveillance-systems-inc-onssi-ocularis-ip-license-plate-recognition-integration
© The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation.
Related pages
Pivot from Inex Technologies 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 25Run 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 1000Run 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 25Run yourself →Or query Whisper from your own LLM workflow via the Whisper MCP server.