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Imperva, Inc. was an American cyber security software and services company which provided protection to enterprise data and application software. The company is headquartered in San Mateo, California.
The analysis highlights History, Art and Companies as prominent areas in the source structure around Imperva.
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 Imperva shows recurring relationship patterns in the source. For example, Imperva → Amichai Shulman, Anthony Bettencourt, CEO, IMPV, In, In August, Mickey Boodaei, Mirai, New York Stock Exchange, NYSE, Protection, SecureSphere Web Application Database, Shlomo Kramer, The, WebCohort Another extracted example is Imperva → Account Takeover, API Security, ATO, DAM, Data Activity Monitoring, DDoS Protection, Imperva’s, It, RASP, Runtime Application Self-Protection, The, WAF, Web Application Firewall. 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.
company security application acquired ceo software thoma bravo 2023 services named protection data 2019 thales group website inc san mateo
TTTA extracted 55 structured relationships around Imperva. Examples in this analysis include Imperva → Area served → Worldwide and Imperva → Founded → 2002; 24 years ago (2002). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Imperva | Area served | Worldwide | 1.00 | infobox |
| Imperva | Founded | 2002; 24 years ago (2002) | 1.00 | infobox |
| Imperva | Founders | Shlomo Kramer | 1.00 | infobox |
| Imperva | Founders | Amichai Shulman | 1.00 | infobox |
| Imperva | Founders | Mickey Boodaei | 1.00 | infobox |
| Imperva | Headquarters | San Mateo, California, United States | 1.00 | infobox |
| Imperva | Industry | IT security | 1.00 | infobox |
| Imperva | Key people | Pam Murphy (CEO) | 1.00 | infobox |
| Imperva | Number of employees | 1,400 (2023) | 1.00 | infobox |
| Imperva | Owner | Thoma Bravo (2019–2023) | 1.00 | infobox |
| Imperva | Parent | Thales Group (2023–present) | 1.00 | infobox |
| Imperva | Products | Security software and services | 1.00 | infobox |
| Imperva | Traded as | NYSE: IMPV (2011–2019) | 1.00 | infobox |
| Imperva | Type | Subsidiary | 1.00 | infobox |
| Imperva | Website | imperva.com | 1.00 | infobox |
The concept neighborhoods around Imperva bring nearby vocabulary together. In this analysis, examples include Security, Acquired and Named. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Imperva, one of the stronger structural bridges in this analysis connects Imperva with History. 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 Imperva to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Art & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Imperva · EN edition · Analysis: TopicsToTalkAbout