Threat actor
ZeroEyes
Last fetched
ZeroEyes is a threat actor tracked in WhisperGraph's MITRE ATT&CK corpus, observed using 0 techniques.
Description
ZeroEyes is a AI-powered gun detection technology founded in 2018 by a team of Navy SEALs. The system integrates with existing security cameras to monitor video feeds 24/7, scanning for visible firearms. If a firearm is detected, the system sends human-verified alerts within 3-5 seconds to school administrators and law enforcement. The technology has been widely adopted in schools across nearly 40 U.S. states. ZeroEyes was involved in a false alarm incident at a Texas high school, where its AI system incorrectly identified a threat and triggered a lockdown.
Techniques by tactic
No ATT&CK techniques are recorded for ZeroEyes in WhisperGraph.
Attributed infrastructure
None published. WhisperGraph carries no ATTRIBUTED_TO edge to ZeroEyes today — this states the absence of a published link, not that ZeroEyes has no infrastructure.
References
- https://www.thetrace.org/2024/10/chicago-transit-zeroeyes-gun-shotspotter/
- https://statescoop.com/zeroeyes-school-safety-ai-firearm-detection-2024/
- https://www.eweek.com/news/university-uses-ai-for-camera-weapon-detection/
- https://statescoop.com/missouri-mike-parson-school-safety-zeroeyes-bill-veto/
- https://news4sanantonio.com/newsletter-daily/texas-high-school-goes-into-lockdown-due-to-ai-security-systems-false-alarm-students-friends-family-scared-security-system-campus
© The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation.
Related pages
Pivot from ZeroEyes 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.