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Kiteworks, formerly known as Accellion, Inc., is an American technology company that secures sensitive content communications over channels such as email, file share, file transfer, managed file transfer, web forms, and application programming interfaces. It was founded in 1999 in Singapore and is now based in San Mateo, California.
The analysis highlights History, Technology, Companies and Products as prominent areas in the source structure around Kiteworks.
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.
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 Kiteworks shows recurring relationship patterns in the source. For example, Kiteworks → Accellion, According, April, Australian Securities, California, Clop, Common Vulnerabilities, CVE, Data, December, Exposures, February, File Transfer Appliance, FIN11, FireEye, FTA, In, Investments Commission, Kroger, Many Another extracted example is Kiteworks → Amit Toren (CBO), Frank Balonis (CISO), Jonathan Yaron (CEO), Jonathan Yaron (CEO) Amit Toren (CBO) Michael Lee (CFO) Kurt Michael (CRO) Tim Freestone (CMO) Yaron Galant (CPO) Frank Balonis (CISO), Kurt Michael (CRO), Michael Lee (CFO), Tim Freestone (CMO), Yaron Galant (CPO). 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.
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TTTA extracted 51 structured relationships around Kiteworks. Examples in this analysis include Kiteworks → Founded → 1999; 27 years ago (1999) in Singapore and Kiteworks → Headquarters → San Mateo, California, United States. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Kiteworks | Founded | 1999; 27 years ago (1999) in Singapore | 1.00 | infobox |
| Kiteworks | Headquarters | San Mateo, California, United States | 1.00 | infobox |
| Kiteworks | Industry | Security software | 1.00 | infobox |
| Kiteworks | Key people | Jonathan Yaron (CEO) Amit Toren (CBO) Michael Lee (CFO) Kurt Michael (CRO) Tim Freestone (CMO) Yaron Galant (CPO) Frank Balonis (CISO) | 1.00 | infobox |
| Kiteworks | Key people | Jonathan Yaron (CEO) | 1.00 | infobox |
| Kiteworks | Key people | Amit Toren (CBO) | 1.00 | infobox |
| Kiteworks | Key people | Michael Lee (CFO) | 1.00 | infobox |
| Kiteworks | Key people | Kurt Michael (CRO) | 1.00 | infobox |
| Kiteworks | Key people | Tim Freestone (CMO) | 1.00 | infobox |
| Kiteworks | Key people | Yaron Galant (CPO) | 1.00 | infobox |
| Kiteworks | Key people | Frank Balonis (CISO) | 1.00 | infobox |
| Kiteworks | Number of employees | 400+ | 1.00 | infobox |
| Kiteworks | Type | Private | 1.00 | infobox |
| Kiteworks | Website | kiteworks.com | 1.00 | infobox |
The concept neighborhoods around Kiteworks bring nearby vocabulary together. In this analysis, examples include Data, Private and Acquired. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Kiteworks, one of the stronger structural bridges in this analysis connects Kiteworks with Software. 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 Kiteworks to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Technology, Companies & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Kiteworks · EN edition · Analysis: TopicsToTalkAbout