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CrowdStrike: History, Technology & Companies
CrowdStrike Holdings, Inc. is an American cybersecurity technology company based in Austin, Texas. It provides endpoint security, threat intelligence, and cyberattack response services. The company was co-founded in 2011 by George Kurtz, Dmitri Alperovitch, and Gregg Marston. Kurtz is the CEO. CrowdStrike went public on the Nasdaq in 2019 and joined the…
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CrowdStrike topic overview
The analysis highlights History, Technology and Companies as prominent areas in the source structure around CrowdStrike.
Related topics
53
Source areas
4
Connected nodes
57
Extracted relationships
90
Concept neighborhoods
12
Bridge connections
57
What this topic covers Research coverage
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.
History · 33 topics
Russian hacking investigations · 11 topics
Overview · 8 topics
2024 IT outages · 1 topics
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.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Founded
2011; 15 years ago (2011)
Founders
George Kurtz · Dmitri Alperovitch · Gregg Marston
Industry
Information security
Headquarters
Austin, Texas, United States
Key people
George Kurtz (CEO) · Michael Sentonas (President)
Net income
US$−163 million (2026)
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
How CrowdStrike connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around CrowdStrike shows recurring relationship patterns in the source. For example, CrowdStrike → Adaptive Shield, August, Bionic, California-based, Danish, Flow Security, Humio, Israel-based, Israeli, January, November, October, Onum, Payload Security, Preempt Security, Reposify, SaaS-based, SecureCircle, September, Seraphic Security Another extracted example is CrowdStrike → CEO, CFO, Chinese, CrowdStrike Falcon, CrowdStrike Services, CrowdStrike's, CTO, Dmitri Alperovitch, Energetic Bear, FBI, Federal Bureau, George Kurtz, Gregg Marston, In May, Inc, Investigation, June, Justice, Russia's Federal Security Service, Shawn Henry. Use these groups to spot repeated connection types before inspecting the individual relationships.
CrowdStrike → CEO, CFO, Chinese, CrowdStrike Falcon, CrowdStrike Services, CrowdStrike's, CTO, Dmitri Alperovitch, Energetic Bear, FBI, Federal Bureau, George Kurtz, Gregg Marston, In May, Inc, Investigation, June, Justice, Russia's Federal Security Service, Shawn Henry
related to Russian hacking investigations· 9
CrowdStrike → Comey, Democratic National Committee, DNC, FBI, James Comey, January, March, On, Russian
related to 2024 IT outages· 7
CrowdStrike → Chief, Falcon Sensor, George Kurtz, July, Microsoft Windows, On, The
related to Delta lawsuits· 7
CrowdStrike → Delta, Delta Air Lines, Falcon, Georgia, July, On October, The
related to External links· 4
CrowdStrike → CrowdStrike Holdings, GoogleReutersSEC, Inc, Official
Founders· 3
CrowdStrike → Dmitri Alperovitch, George Kurtz, Gregg Marston
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 90 structured relationships around CrowdStrike. Examples in this analysis include CrowdStrike → Founded → 2011; 15 years ago (2011) and CrowdStrike → Founders → George Kurtz. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
CrowdStrike
Founded
2011; 15 years ago (2011)
1.00
infobox
CrowdStrike
Founders
George Kurtz
1.00
infobox
CrowdStrike
Founders
Dmitri Alperovitch
1.00
infobox
CrowdStrike
Founders
Gregg Marston
1.00
infobox
CrowdStrike
Headquarters
Austin, Texas, United States
1.00
infobox
CrowdStrike
Industry
Information security
1.00
infobox
CrowdStrike
Key people
George Kurtz (CEO)
1.00
infobox
CrowdStrike
Key people
Michael Sentonas (President)
1.00
infobox
CrowdStrike
Net income
US$−163 million (2026)
1.00
infobox
CrowdStrike
Number of employees
10,698 (2026)
1.00
infobox
CrowdStrike
Operating income
US$−293 million (2026)
1.00
infobox
CrowdStrike
Revenue
US$4.81 billion (2026)
1.00
infobox
CrowdStrike
Total assets
US$11.1 billion (2026)
1.00
infobox
CrowdStrike
Total equity
US$4.43 billion (2026)
1.00
infobox
CrowdStrike
Traded as
Nasdaq: CRWD (Class A)
1.00
infobox
CrowdStrike
Traded as
Nasdaq-100 component
1.00
infobox
CrowdStrike
Traded as
S&P 500 component
1.00
infobox
CrowdStrike
Type
Public
1.00
infobox
CrowdStrike
Website
www.crowdstrike.com
1.00
infobox
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around CrowdStrike bring nearby vocabulary together. In this analysis, examples include Russian, Delta and Falcon. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
CrowdStrike
Russian
Delta
Falcon
Update
Also
Filed
Inc
Intelligence
Launched
Following
Million
Report
crowdstrike
Russian
Delta
Falcon
Update
Also
Filed
Inc
Intelligence
Launched
Following
Million
Report
endpoint security
Global
Million
Services
Threat
Including
Information
Intelligence
Service
Technology
Software
Update
Ceo
delta air lines
Lines
Delta
Filed
July
Software
Update
Inc
Issued
Including
Outage
Caused
Following
federal security service
Global
Million
Services
Threat
Including
Information
Intelligence
Security
Service
Technology
Software
Also
cloud security
Global
Million
Services
Threat
Including
Information
Intelligence
Service
Technology
Software
Update
Ceo
global computer outages
Outage
Security
Software
Issued
Update
Air
Lines
Also
Customers
Including
Information
Intelligence
threat intelligence
Russian
Services
Launched
Security
Air
Global
Intelligence
Lines
Threat
Also
Information
June
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For CrowdStrike, one of the stronger structural bridges in this analysis connects CrowdStrike 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.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
CrowdStrike
Nodes58
Edges57
Triples90
Avg. degree1.97
Density0.034483
Components1
Source & methodology
TTTA analyzes the structure around CrowdStrike to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Technology & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
