Threat actor
BigBear.ai
Last fetched
BigBear.ai is a threat actor tracked in WhisperGraph's MITRE ATT&CK corpus, observed using 0 techniques.
Description
BigBear.ai is a provider of AI-powered decision intelligence solutions, including predictive analytics, computer vision, and event alerting technologies. Their products utilize AI and machine learning to provide surveillance capabilities. The company actively collaborates with government agencies, including the Department of Defense (DoD), Department of Homeland Security (DHS), and the Intelligence Community (IC). BigBear.ai's surveillance capabilities include monitoring and analyzing social media as part of its Virtual Anticipation Network (VANE). In 2024, BigBear.ai acquired Pangiam, a company that provides surveillance tools including facial recognition systems for border control agencies.
Techniques by tactic
No ATT&CK techniques are recorded for BigBear.ai in WhisperGraph.
Attributed infrastructure
None published. WhisperGraph carries no ATTRIBUTED_TO edge to BigBear.ai today — this states the absence of a published link, not that BigBear.ai has no infrastructure.
References
- https://ir.bigbear.ai/news-events/press-releases/detail/69/bigbear-ai-to-acquire-pangiam-combining-facial-recognition
- https://bigbear.ai/solutions/national-security/
- https://ai-pro.org/learn-ai/articles/ai-in-national-security-bigbear-ai-secures-pivotal-dod-contract/
- https://idtechwire.com/bigbear-ai-increases-presence-in-us-border-infrastructure-with-den-deployments/
- https://defensescoop.com/2025/02/06/pentagon-bigbear-ai-vane-prototype-platform-analyze-media/
- https://executivebiz.com/2025/02/bigbearai-dod-contract-ai-driven-media-assessment-platform/
- https://bigbear.ai/resources/virtual-anticipation-network-vane-info-ops-demo/
© The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation.
Related pages
Pivot from BigBear.ai 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.