Threat actor
Gaggle
Last fetched
Gaggle is a threat actor tracked in WhisperGraph's MITRE ATT&CK corpus, observed using 0 techniques.
Description
Gaggle is a Dallas, Texas based company that provides ongoing AI-powered surveillance in schools. The students' digital activities are closely monitored for indicators of certain behaviors. This surveillance includes homework, emails, photos, and chats, with alerts potentially leading to interventions that include police involvement. In some schools, Gaggle was integrated into all school-issued Chromebooks, working with Google services such as Gmail, Google Docs, Google Slides, and Google Sheets. Whenever students type something, Google's auto-save feature activates, automatically routing the saved content through Gaggle for monitoring. As of May, 2024, Gaggle is currently in at least 1,500 K-12 districts in the U.S.
Techniques by tactic
No ATT&CK techniques are recorded for Gaggle in WhisperGraph.
Attributed infrastructure
None published. WhisperGraph carries no ATTRIBUTED_TO edge to Gaggle today — this states the absence of a published link, not that Gaggle has no infrastructure.
References
- https://kansasreflector.com/2024/07/28/spyware-turned-this-kansas-high-school-into-a-red-zone-of-dystopian-surveillance/
- https://www.kwtx.com/2024/05/21/student-device-surveillance-catching-more-than-just-potential-threats-district-says/
- https://lawrencekstimes.com/2024/04/18/lhs-journalists-dispute-gaggle/
- https://www.fastcompany.com/90748240/gaggle-school-content-moderation-privacy
- https://ohiocapitaljournal.com/2024/08/21/ohio-school-districts-use-surveillance-software-to-monitor-student-devices/
- https://www.the74million.org/article/spy-high-amazon-documentary-probes-dangers-of-online-student-surveillance/
© The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation.
Related pages
Pivot from Gaggle 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.