Threat actor
Neurotechnology
Last fetched
Neurotechnology is a threat actor tracked in WhisperGraph's MITRE ATT&CK corpus, observed using 0 techniques.
Description
Neurotechnology is a Lithuania-based company that develops biometric identification systems used by governments, law enforcement, and private-sector clients worldwide. Founded in 1990, the company's suite of products include facial recognition, fingerprint, iris, and voice recognition technologies, and has supplied its algorithms to national ID programs, border control systems, and police agencies across multiple countries. Its MegaMatcher and VeriLook software is capable of performing large-scale biometric matching. Law enforcement entities have deployed Neurotechnology's tools for investigations, target identification, and crowd monitoring, often in combination with surveillance footage or photo databases.
Techniques by tactic
No ATT&CK techniques are recorded for Neurotechnology in WhisperGraph.
Attributed infrastructure
None published. WhisperGraph carries no ATTRIBUTED_TO edge to Neurotechnology today — this states the absence of a published link, not that Neurotechnology has no infrastructure.
References
- https://www.themarshallproject.org/2024/11/12/protest-surveillance-technologies
- https://geeksaroundglobe.com/megamatcher-products-tailored-for-law-enforcement-criminal-investigation-needs/
- https://cbs4indy.com/business/press-releases/ein-presswire/797028903/neurotechnology-upgrades-its-sentiveillance-video-surveillance-systems-with-improved-algorithms-and-new-features/
- https://www.neurotechnology.com/biometrics-border-control.html
- https://www.neurotechnology.com/megamatcher-abis-references.html
© The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation.
Related pages
Pivot from Neurotechnology 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.