Threat actor
Logically
Last fetched
Logically is a threat actor tracked in WhisperGraph's MITRE ATT&CK corpus, observed using 0 techniques.
Description
Logically, a UK-based artificial intelligence company, has been involved in government contracts for monitoring and analyzing social media content. The company has received over £1.2 million in funding from the UK government to identify and flag specific content online it deems to be misinformation or disinformation. Using AI, Logically processes data from hundreds of thousands of media sources and public posts on major social media platforms. Logically's tools were initially tested during elections in India and later expanded to support other government efforts. In the United States, the Washington Secretary of State extended a contract with Logically to monitor social media posts concerning elections. The Wall Street Journal reported in 2021 that the Department of Homeland Security (DHS) had engaged in at least preliminary discussions with Logically.
Techniques by tactic
No ATT&CK techniques are recorded for Logically in WhisperGraph.
Attributed infrastructure
None published. WhisperGraph carries no ATTRIBUTED_TO edge to Logically today — this states the absence of a published link, not that Logically has no infrastructure.
References
- https://www.telegraph.co.uk/news/2023/06/03/logically-ai-firm-social-media-posts-covid/
- https://whocountsthevotes.com/logically-ai-contract-extension-to-monitor-social-media/
- https://www.brennancenter.org/our-work/analysis-opinion/were-suing-dhs-uncover-its-use-social-media-surveillance-tools
- https://www.wsj.com/politics/national-security/homeland-security-considers-outside-firms-to-analyze-social-media-after-jan-6-failure-11629025200
- https://logically.ai/announcements/logically-announces-24m-funding-round
© The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation.
Related pages
Pivot from Logically 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.