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MSAV: History & Products

Microsoft Anti-Virus (MSAV) is an antivirus program introduced by Microsoft for its MS-DOS operating system. The program first appeared in MS-DOS version 6.0 (1993) and last appeared in MS-DOS 6.22. The first version of the antivirus program was basic, had no inbuilt update facility (updates had to be obtained from a BBS and manually installed by the…

Language: English [EN]
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MSAV topic overview

The analysis highlights History and Products as prominent areas in the source structure around MSAV.

Related topics
16
Source areas
3
Connected nodes
19
Extracted relationships
17
Concept neighborhoods
16
Bridge connections
19

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.

Overview · 7 topics
History · 5 topics
Features · 4 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.

Available in
English
Developer
Central Point Software
License
Proprietary
Operating system
MS-DOS, Windows 3.1x
Platform
IA-32
Release
March 30, 1993; 33 years ago (1993-03-30)

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

Features

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 MSAV connects Entity context

The extracted context around MSAV shows recurring relationship patterns in the source. For example, MSAV → Clean, Detect, June, Symantec, The, This, Trojan Another extracted example is MSAV → By, VSafe. Use these groups to spot repeated connection types before inspecting the individual relationships.

MSAV

Top relations

related to Features · 7
MSAV → Clean, Detect, June, Symantec, The, This, Trojan
related to VSafe TSR · 2
MSAV → By, VSafe
Available in · 1
MSAV → English
Developer · 1
MSAV → Central Point Software
License · 1
MSAV → Proprietary
Operating system · 1
MSAV → MS-DOS, Windows 3.1x
Platform · 1
MSAV → IA-32
Release · 1
MSAV → March 30, 1993; 33 years ago (1993-03-30)
Size · 1
MSAV → MSAV.EXE: 236 KB VSAFE.COM: 62 KB Virus Definitions: 60 KB
Type · 1
MSAV → Antivirus software

Important terminology

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

Important terminology

microsoft anti-virus antivirus vsafe program ms-dos viruses software virus update version central point windows boot sector files executable attempts could

MSAV relationships Subject–Predicate–Object triples

TTTA extracted 17 structured relationships around MSAV. Examples in this analysis include MSAV → Available in → English and MSAV → Developer → Central Point Software. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
MSAVAvailable inEnglish1.00infobox
MSAVDeveloperCentral Point Software1.00infobox
MSAVLicenseProprietary1.00infobox
MSAVOperating systemMS-DOS, Windows 3.1x1.00infobox
MSAVPlatformIA-321.00infobox
MSAVReleaseMarch 30, 1993; 33 years ago (1993-03-30)1.00infobox
MSAVSizeMSAV.EXE: 236 KB VSAFE.COM: 62 KB Virus Definitions: 60 KB1.00infobox
MSAVTypeAntivirus software1.00infobox
MSAVrelated to FeaturesDetect0.60section
MSAVrelated to FeaturesClean0.60section
MSAVrelated to FeaturesTrojan0.60section
MSAVrelated to FeaturesThe0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around MSAV bring nearby vocabulary together. In this analysis, examples include Virus, 1x and Operating. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • MSAV
    • Virus
    • 1x
    • Operating
    • Symantec
    • System
    • Ms-dos
    • Windows
    • Vsafe
    • Inc
    • Carmel
    • Central
    • Features
  • msav
    • Virus
    • 1x
    • Operating
    • Symantec
    • System
    • Ms-dos
    • Windows
    • Vsafe
    • Inc
    • Carmel
    • Central
    • Features
  • antivirus
    • Later
    • Microsoft
    • Operating
    • System
    • Ms-dos
    • Version
    • Program
    • Inc
    • Msav
    • 1x
    • Carmel
    • Central
  • microsoft
    • Windows
    • Antivirus
    • 1x
    • Central
    • Later
    • Operating
    • Point
    • System
    • Msav
    • Also
    • Ms-dos
    • Software
  • windows 3.1x
    • 1x
    • Central
    • Point
    • Windows
    • Anti-virus
    • Microsoft
    • Also
    • Inc
    • Software
    • Carmel
    • Features
    • Later
  • microsoft security essentials
    • Windows
    • Antivirus
    • 1x
    • Central
    • Later
    • Operating
    • Point
    • System
    • Msav
    • Also
    • Ms-dos
    • Software
  • microsoft defender
    • Windows
    • Antivirus
    • 1x
    • Central
    • Later
    • Operating
    • Point
    • System
    • Msav
    • Also
    • Ms-dos
    • Software
  • norton antivirus
    • Later
    • Microsoft
    • Operating
    • System
    • Ms-dos
    • Version
    • Program
    • Inc
    • Msav
    • 1x
    • Carmel
    • Central

Connections between topic areas Semantic bridges

For MSAV, one of the stronger structural bridges in this analysis connects MSAV with Overview. 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
MSAV — Overview · splits 12 ⟂ 8
MSAV — History · splits 14 ⟂ 6
MSAV — Features · splits 15 ⟂ 5

Map overview Semantic statistics

MSAV

Nodes20
Edges19
Triples17
Avg. degree1.9
Density0.1
Components1

Source & methodology

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

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

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