Threat actor
Pangiam
Last fetched
Pangiam is a threat actor tracked in WhisperGraph's MITRE ATT&CK corpus, observed using 0 techniques.
Description
Pangiam is a Virginia-based technology company that develops identity management, biometrics, and AI-driven security solutions for border control, aviation, and government applications. Founded by former senior U.S. Department of Homeland Security officials, Pangiam has expanded through strategic acquisitions, including the facial recognition platform veriScan and computer vision firm Trueface. One of Pangiam's flagship initiatives is its collaboration with U.S. Customs and Border Protection (CBP) on the Anomaly Detection Algorithms (ADA) project. It has also implemented facial recognition systems at various transportation hubs. In March 2024, BigBear.ai completed its acquisition of Pangiam for approximately $70 million in stock.
Techniques by tactic
No ATT&CK techniques are recorded for Pangiam in WhisperGraph.
Attributed infrastructure
None published. WhisperGraph carries no ATTRIBUTED_TO edge to Pangiam today — this states the absence of a published link, not that Pangiam has no infrastructure.
References
- https://www.axios.com/2023/12/12/border-patrol-us-mexico-ai-robo-dogs-drones-inspectors
- https://ir.bigbear.ai/news-events/press-releases/detail/69/bigbear-ai-to-acquire-pangiam-combining-facial-recognition
- https://www.defensedaily.com/pangiam-acquires-computer-vision-company-trueface-2/homeland-security/
- https://www.aeroequity.com/pangiam-acquires-veriscan-a-biometric-facial-recognition-system-for-airports-and-airlines/
© The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation.
Related pages
Pivot from Pangiam 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.