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Kai Logan West (born 1999 or 2000), known also by the online pseudonym IntelBroker, is a former British black hat hacker who has committed several high-profile cyber attacks against large corporations and government agencies, with over 80 sales and leaks of compromised data having been traced to them.
The analysis highlights Works and Companies as prominent areas in the source structure around IntelBroker.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
A focused starting point derived from the topic graph, ranked independently of the source article order.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around IntelBroker shows recurring relationship patterns in the source. For example, IntelBroker → America, API, AT, Bank, Barclays, Cisco, Cisco's, December, DevHub, Dignity Health, Docker, EnergyWeaponUser, GitHub, GitLab, Hackread, In, JFrog, Jira, Microsoft, October Another extracted example is IntelBroker → Accor, As, Asia, BreachForums, Customs Enforcement, Facebook, Hewlett Packard Enterprise, Home Depot, HSBC, Immigration, Immigration Services, June, Los Angeles International Airport's, Most, Other, Tech, They, United States Citizenship, Verizon. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
breachforums information data 2024 claimed pandabuy access code compromised 2023 government 2025 source cyber june europol amd used agencies united
TTTA extracted 156 structured relationships around IntelBroker. Examples in this analysis include IntelBroker → Born → 1999 or 2000 in England and IntelBroker → Known for → Hacking corporations and government agencies. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| IntelBroker | Born | 1999 or 2000 in England | 1.00 | infobox |
| IntelBroker | Known for | Hacking corporations and government agencies | 1.00 | infobox |
| IntelBroker | Known for | Owner of BreachForums (August 2024 – January 2025) | 1.00 | infobox |
| IntelBroker | Other name | IntelBroker | 1.00 | infobox |
| BreachForums.RansomwareIntelBroker created a unique ransomware strain written in C | instance of | discover and extract more of the victim's data in order to sell them on the black market | 0.80 | text |
| client names | instance of | In June they claimed to have extracted data | 0.80 | text |
| policy numbers from IT company Cognizant | instance of | In June they claimed to have extracted data | 0.80 | text |
| IntelBroker | related to Acuity | In April | 0.60 | section |
| IntelBroker | related to Acuity | Sanggiero | 0.60 | section |
| IntelBroker | related to Acuity | Acuity | 0.60 | section |
| IntelBroker | related to Acuity | Five Eyes | 0.60 | section |
| IntelBroker | related to Acuity | United States | 0.60 | section |
The concept neighborhoods around IntelBroker bring nearby vocabulary together. In this analysis, examples include Breachforums, Data and Claimed. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For IntelBroker, one of the stronger structural bridges in this analysis connects IntelBroker with Reported attacks. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around IntelBroker to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Works & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — IntelBroker · EN edition · Analysis: TopicsToTalkAbout