Sourcefire, Inc was a technology company that developed network security hardware and software. The company's Firepower network security appliances were based on Snort, an open-source intrusion detection system (IDS). Sourcefire was acquired by Cisco for $2.7 billion in July 2013.
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Sourcefire topic overview
The analysis highlights Research, Technology, Measurement and Companies as prominent areas in the source structure around Sourcefire. 1 topic appears in more than one source area, which can help identify connections that are less obvious in a linear reading.
Related topics
35
Source areas
5
Connected nodes
41
Extracted relationships
80
Concept neighborhoods
15
Bridge connections
41
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.
Products · 13 topics
Financial · 9 topics
Sourcefire Vulnerability Research Team · 7 topics
Overview · 5 topics
Background · 2 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
2001
Industry
Network security; intrusion detection, intrusion prevention system and anti-malware
Headquarters
Columbia, Maryland
Fate
Acquired
Founder
Martin Roesch
Key people
John Becker (CEO) (at the sale of the company), Martin Roesch (Founder and CTO)
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 Sourcefire 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 Sourcefire shows recurring relationship patterns in the source. For example, Sourcefire → Barracuda Networks, Check Point Software, Clam AntiVirus, Core Capital Partners, Cross Creek Capital, Immunet, In, In August, Inflection Point Ventures, January, March, May, Meritech Capital Partners, New Enterprise Associates, Sequoia Capital, Sierra Ventures, The, US Another extracted example is Sourcefire → Blaster, ClamAV, Conficker, Members, Microsoft Tuesday, Nachi, Netsky, Sasser, Snort, Sourcefire VRT, System, Team, The, The Sourcefire VRT, The Sourcefire Vulnerability Research, The VRT, VRT, Zotob. Use these groups to spot repeated connection types before inspecting the individual relationships.
Sourcefire
Top relations
related to Financial· 18
Sourcefire → Barracuda Networks, Check Point Software, Clam AntiVirus, Core Capital Partners, Cross Creek Capital, Immunet, In, In August, Inflection Point Ventures, January, March, May, Meritech Capital Partners, New Enterprise Associates, Sequoia Capital, Sierra Ventures, The, US
related to Sourcefire Vulnerability Research Team· 18
Sourcefire → Blaster, ClamAV, Conficker, Members, Microsoft Tuesday, Nachi, Netsky, Sasser, Snort, Sourcefire VRT, System, Team, The, The Sourcefire VRT, The Sourcefire Vulnerability Research, The VRT, VRT, Zotob
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 80 structured relationships around Sourcefire. Examples in this analysis include Sourcefire → Fate → Acquired and Sourcefire → Founded → 2001. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Sourcefire
Fate
Acquired
1.00
infobox
Sourcefire
Founded
2001
1.00
infobox
Sourcefire
Founder
Martin Roesch
1.00
infobox
Sourcefire
Headquarters
Columbia, Maryland
1.00
infobox
Sourcefire
Industry
Network security; intrusion detection, intrusion prevention system and anti-malware
1.00
infobox
Sourcefire
Key people
John Becker (CEO) (at the sale of the company), Martin Roesch (Founder and CTO)
1.00
infobox
Sourcefire
Number of employees
560 (3Q12)
1.00
infobox
Sourcefire
Parent
Cisco Systems
1.00
infobox
Sourcefire
Products
Sourcefire Firepower network security appliances
1.00
infobox
Sourcefire
Revenue
$223.1M (FY12)
1.00
infobox
Sourcefire
Type
Subsidiary
1.00
infobox
Sourcefire
Website
cisco.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 Sourcefire bring nearby vocabulary together. In this analysis, examples include Vrt, System and 3d. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
network security
Intrusion
System
Prevention
Sourcefire
Snort
Detection
Firepower
Security
Appliances
Team
Software
Cisco
appliances
Firepower
Security
Detection
Products
Acquired
Also
Form
Ids
Intrusion
Network
Revenue
System
intrusion detection system
Prevention
Network
System
Intrusion
Snort
Ids
3d
Security
Malware
Open
Source
Firepower
intrusion prevention system
Prevention
Network
System
Snort
3d
Ids
Open
Security
Source
Systems
Malware
Protection
cisco systems
Announced
Team
Systems
Sourcefire
Immunet
Security
Vrt
Intrusion
Network
Products
Acquisition
Also
snort
System
Prevention
3d
Also
Open
Source
Sourcefire
Products
Clamav
Software
Protection
Vrt
immunet
Team
Antivirus
Systems
Intrusion
Network
Products
Sourcefire
Acquisition
Also
Announced
Revenue
Security
Sourcefire
Vrt
System
3d
Acquisition
Announced
Team
Clamav
Form
Year
Antivirus
Systems
Million
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 Sourcefire, one of the stronger structural bridges in this analysis connects Sourcefire with Products. 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.
Sourcefire
Nodes42
Edges41
Triples80
Avg. degree1.95
Density0.047619
Components1
Source & methodology
TTTA analyzes the structure around Sourcefire to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Research, Technology, Measurement & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
