Threat actor
Veritone
Last fetched
Veritone is a threat actor tracked in WhisperGraph's MITRE ATT&CK corpus, observed using 0 techniques.
Description
Veritone is an enterprise AI company that provides surveillance and investigative tools to law enforcement and government agencies. Its primary product, Veritone Track, is a video forensics platform that enables users to identify and track individuals and vehicles across large amounts of video footage, including body cameras, CCTV, drones, and social media feeds. A significant upgrade to Veritone Track was announced in October 2024, expanding its capabilities to include AI-assisted vehicle tracking at scale. This update allows investigators to trace vehicles of interest across multiple video sources. The platform's AI engine supposedly analyzes video footage to identify vehicles by their visual features. Its customers include the U.S Department of Homeland Security. Microsoft Azure provides Veritone with cloud computing resources to support its AI-powered surveillance platforms.
Techniques by tactic
No ATT&CK techniques are recorded for Veritone in WhisperGraph.
Attributed infrastructure
None published. WhisperGraph carries no ATTRIBUTED_TO edge to Veritone today — this states the absence of a published link, not that Veritone has no infrastructure.
References
- https://www.biometricupdate.com/202410/veritone-track-updated-to-include-ai-assisted-vehicle-tracking-at-scale
- https://www.veritone.com/blog/ai-for-police-veritone-revolutionizes-law-enforcement/
- https://theintercept.com/2020/07/14/microsoft-police-state-mass-surveillance-facial-recognition/
- https://www.axios.com/2024/04/30/upguard-ai-training-data-leak-research
- https://www.biometricupdate.com/202211/veritone-buys-vision-semantics-gets-deloitte-nod-for-growth
© The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation.
Related pages
Pivot from Veritone 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.