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Threat actor

Kedacom

Last fetched

Kedacom is a threat actor tracked in WhisperGraph's MITRE ATT&CK corpus, observed using 0 techniques.

Description

Kedacom is a company headquartered in Suzhou, Jiangsu, China and which specializes in surveillance and video technology. It has been actively involved in policing services through its advanced surveillance systems. Kedacom's technology is prominently used by the Dubai Police Department, where it has introduced a solution that combines mobile technology with artificial intelligence. This includes high-performance front-end cameras, artificial intelligence systems, and various devices such as body-worn cameras, 4G PTZ cameras, in-vehicle NVRs, and control pads. These components are integrated with a video surveillance platform to enable real-time video and audio acquisition, storage, and review. The technology works by utilizing facial and vehicle recognition capabilities, allowing for real-time video transmission to police command centers. The system also supports deep learning algorithms and big data analysis. Kedacom also offers the Falcon Human Recognition System, supporting up to 500,000 cameras and a face/human detection comparison library of up to 10 million entries, according to the company's official website. It boasts a face recognition accuracy of up to 98% and supports various camera types, including Kedacom's own and third-party IP cameras.

Techniques by tactic

No ATT&CK techniques are recorded for Kedacom in WhisperGraph.

Attributed infrastructure

None published. WhisperGraph carries no ATTRIBUTED_TO edge to Kedacom today — this states the absence of a published link, not that Kedacom has no infrastructure.

References

© The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation.

Related pages

Pivot from Kedacom 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 25
Run 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 1000
Run 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 25
Run yourself →

Or query Whisper from your own LLM workflow via the Whisper MCP server.