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PKWare: History, Art, Standards & Companies

PKWARE, Inc. is an American enterprise data protection software company that provides discovery, classification, masking and encryption software, along with data compression software. The company is headquartered in Milwaukee, Wisconsin. PKWARE was founded in 1986 by Phil Katz, co-inventor of the ZIP standard. Thompson Street Capital Partners acquired…

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PKWare topic overview

The analysis highlights History, Art, Standards and Companies as prominent areas in the source structure around PKWare.

Related topics
13
Source areas
2
Connected nodes
15
Extracted relationships
91
Concept neighborhoods
10
Bridge connections
15

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 · 8 topics
Overview · 5 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
1986; 40 years ago (1986)
Industry
Data security · Computer software
Headquarters
201 E. Pittsburgh Ave., Ste. 400, Milwaukee, WI, U.S.
Area served
Worldwide
Brands
PK Protect · PK Masking · PK Privacy · PK Classification · PK Encryption
Founder
Phil Katz

Explore all related topics Closing gaps

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.

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.

How PKWare connects Entity context

The extracted context around PKWare shows recurring relationship patterns in the source. For example, PKWare → After, Data Classification, Data Redaction, Dataguise, In, May, November, PCI DSS, PK, Products, Smartcrypt, These, Thompson Street Capital Partners Another extracted example is PKWare → ARC, Following, Gary Conway, He, January, Katz, Phil Katz, PKARC, PKZIP, Systems Enhancement Associates Inc, ZIP. Use these groups to spot repeated connection types before inspecting the individual relationships.

PKWare

Top relations

related to Developing and purchasing expanded capabilities (2016–present) · 13
PKWare → After, Data Classification, Data Redaction, Dataguise, In, May, November, PCI DSS, PK, Products, Smartcrypt, These, Thompson Street Capital Partners
related to Compression software (1986–2000) · 11
PKWare → ARC, Following, Gary Conway, He, January, Katz, Phil Katz, PKARC, PKZIP, Systems Enhancement Associates Inc, ZIP
related to Purchase and expansion (2001–2008) · 11
PKWare → After Katz, Ascent Solutions, Dayton, George Haddix, Grace Matthews, In, Ohio, PKZIP, PKZIP's, SecureZIP, Two
related to Shift toward data protection (2009–2015) · 9
PKWare → CEO, Dropbox, In, Maranon Capital, Miller Newton, Novacap Technologies, PKWARE's, The, Viivo
Brands · 8
PKWare → PK Classification, PK Discovery, PK Encryption, PK Masking, PK Privacy, PK Protect, PKZip, SecureZip
Products · 8
PKWare → Data classification software, Data compliance software, Data compression, Data discovery software, Data loss prevention software, Data masking software, File encryption, Key management
related to Patents · 8
PKWare → Also, In, Outlook, Phil Katz, PKZIP, September, Windows, ZIP
related to Products · 5
PKWare → Application Note, In, The, This Application Note, ZIP
Industry · 2
PKWare → Computer software, Data security
Area served · 1
PKWare → Worldwide

Important terminology

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

Important terminology

data compression software company encryption katz 2020 zip pkzip file products new protection phil thompson street capital inc 1986 format

PKWare relationships Subject–Predicate–Object triples

TTTA extracted 91 structured relationships around PKWare. Examples in this analysis include PKWare → Area served → Worldwide and PKWare → Brands → PK Protect. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
PKWareArea servedWorldwide1.00infobox
PKWareBrandsPK Protect1.00infobox
PKWareBrandsPK Masking1.00infobox
PKWareBrandsPK Privacy1.00infobox
PKWareBrandsPK Classification1.00infobox
PKWareBrandsPK Encryption1.00infobox
PKWareBrandsPK Discovery1.00infobox
PKWareBrandsSecureZip1.00infobox
PKWareBrandsPKZip1.00infobox
PKWareFounded1986; 40 years ago (1986)1.00infobox
PKWareFounderPhil Katz1.00infobox
PKWareHeadquarters201 E. Pittsburgh Ave., Ste. 400, Milwaukee, WI, U.S.1.00infobox
PKWareIndustryData security1.00infobox
PKWareIndustryComputer software1.00infobox
PKWareKey peopleSpencer Kupferman (CEO), Tonya Cannady (CRO), Jason Dobbs (COO)1.00infobox
PKWareParentThompson Street Capital Partners (since 2020)1.00infobox
PKWareProductsFile encryption1.00infobox
PKWareProductsData discovery software1.00infobox
PKWareProductsData classification software1.00infobox
PKWareProductsData masking software1.00infobox
PKWareProductsData loss prevention software1.00infobox
PKWareProductsKey management1.00infobox
PKWareProductsData compliance software1.00infobox
PKWareProductsData compression1.00infobox
PKWareTypePrivate1.00infobox
PKWareWebsitewww.pkware.com1.00infobox
PKWarefounded in19860.95text
PKWarefounded byPhil Katz0.90text

Related concept clusters Concept neighborhoods

The concept neighborhoods around PKWare bring nearby vocabulary together. In this analysis, examples include Encryption, Capital and Protection. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • PKWare
    • Encryption
    • Capital
    • Protection
    • Street
    • Thompson
    • Compression
    • Discovery
    • Partners
    • Acquired
    • Phil
    • Products
    • Software
  • pkware
    • Encryption
    • Capital
    • Protection
    • Street
    • Thompson
    • Compression
    • Discovery
    • Partners
    • Acquired
    • Phil
    • Products
    • Software
  • data protection
    • Encryption
    • Pkware
    • Compression
    • Protection
    • Discovery
    • Security
    • Phil
    • Products
    • Software
    • Classification
    • Compliance
    • Released
  • phil katz
    • Katz
    • Phil
    • Compliance
    • Security
    • Pkzip
    • New
    • Protection
    • Pkarc
    • Products
    • Software
    • Management
    • Pkware
  • thompson street capital partners
    • Street
    • Thompson
    • Partners
    • Capital
    • Acquired
    • Discovery
    • Management
    • Pkware
    • New
    • Compliance
    • Masking
    • Pkarc
  • unstructured data
    • Encryption
    • Pkware
    • Compression
    • Protection
    • Discovery
    • Products
    • Software
    • Classification
    • Compliance
    • Security
    • Phil
    • Released
  • semi-structured data
    • Encryption
    • Pkware
    • Compression
    • Protection
    • Discovery
    • Products
    • Software
    • Classification
    • Compliance
    • Security
    • Phil
    • Released
  • zip
    • File
    • Format
    • Standard
    • Katz
    • Compression
    • Pkware
    • Founded
    • Program
    • Data
    • Phil
    • Released
    • Years

Connections between topic areas Semantic bridges

For PKWare, one of the stronger structural bridges in this analysis connects PKWare 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.

Min side: 3
PKWareHistory · splits 7 ⟂ 9
PKWareOverview · splits 10 ⟂ 6

Map overview Semantic statistics

PKWare

Nodes16
Edges15
Triples91
Avg. degree1.88
Density0.125
Components1

Source & methodology

TTTA analyzes the structure around PKWare to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Art, Standards & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — PKWare · EN edition · Analysis: TopicsToTalkAbout

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