Research any topic before you write.

Find related topics.Discover entities.See connections.Build a topical map.

G Data CyberDefense

G Data CyberDefense AG (until September 2019 G Data Software AG) is a German software company that focuses on computer security. The company was founded in 1985 and is headquartered in Bochum. They are known for being the creators of the world's first antivirus software. G Data uses multiple scanning engines; one is developed in-house and the other is…

[EN, English, English]

History, Companies, Art & Products

Interactive map loads when it comes into view.
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around G Data CyberDefense. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Founded
1985; 41 years ago (1985)
Industry
Computer software
Headquarters
Bochum, Germany
Key people
Kai Figge Andreas Lüning
Number of employees
500
Products
Antivirus software

Topics to explore

A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

History

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.

G Data CyberDefense

Nodes19
Edges18
Triples8
Avg. degree1.89
Density0.105263
Components1

How this topic connects Entity context

Quick relationship hints grouped by predicate. Useful for spotting recurring semantic connections around the current entity.

See the strongest relationship patterns around the current topic before diving into the raw triples.

G Data CyberDefense

Top relations

Founded · 1
G Data CyberDefense → 1985; 41 years ago (1985)
Headquarters · 1
G Data CyberDefense → Bochum, Germany
Industry · 1
G Data CyberDefense → Computer software
Key people · 1
G Data CyberDefense → Kai Figge Andreas Lüning
Number of employees · 1
G Data CyberDefense → 500
Products · 1
G Data CyberDefense → Antivirus software
Revenue · 1
G Data CyberDefense → €38.9 million (2021)
Website · 1
G Data CyberDefense → www.gdata-software.com www.gdatasoftware.co.uk

Important terminology Word statistics

Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

data security company software 1985 antivirus first computer bochum employees cyberdefense ag founded september developed germany products 2019 markets cyber

Entity relationships Subject–Predicate–Object triples

Extracted RDF-like relationships with confidence and source. The table includes structured facts and lower-confidence contextual relations.
SubjectPredicateObjectConfidenceSrc
G Data CyberDefenseFounded1985; 41 years ago (1985)1.00infobox
G Data CyberDefenseHeadquartersBochum, Germany1.00infobox
G Data CyberDefenseIndustryComputer software1.00infobox
G Data CyberDefenseKey peopleKai Figge Andreas Lüning1.00infobox
G Data CyberDefenseNumber of employees5001.00infobox
G Data CyberDefenseProductsAntivirus software1.00infobox
G Data CyberDefenseRevenue€38.9 million (2021)1.00infobox
G Data CyberDefenseWebsitewww.gdata-software.com www.gdatasoftware.co.uk1.00infobox

Related concept clusters Concept neighborhoods

Clusters of nearby vocabulary surrounding the topic. Scan them for adjacent concepts and language you may have missed.

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridge nodes connect otherwise separate parts of the map. Expand a row to inspect the topic groups on each side.

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.