OSSEC

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OSSEC topic overview

The analysis highlights Characters and History as prominent areas in the source structure around OSSEC.

Related topics: 17
Source areas: 3
Connected nodes: 20
Extracted relationships: 23
Concept neighborhoods: 14
Bridge connections: 20

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 · 12 topics

Characteristics · 3 topics

History · 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.

Developer: Daniel B. Cid et al.
License: GNU GPL v2
Operating system: Cross-platform
Repository: github.com/ossec/ossec-hids
Stable release: 4.2.0 / 2 August 2026; 22 days ago (2 August 2026)
Type: Security / HIDS

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

Free Free software
Open-source Open-source software
Host-based intrusion detection system
Log analysis
Windows registry
Rootkit
Linux
OpenBSD
FreeBSD
OS X
Solaris Solaris (operating system)
Windows Microsoft Windows

History

Trend Micro
Atomicorp Atomicorp?action=edit&redlink=1

Characteristics

Agent Software agent
Web interface
Stand-alone Computer software

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 OSSEC connects Entity context

The extracted context around OSSEC shows recurring relationship patterns in the source. For example, OSSEC → Cid, Daniel, In June, In May, Inc, They, Third Brigade, Trend Micro Another extracted example is OSSEC → Agent, Agentless, Manager, Unix. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

related to history · 8

OSSEC → Cid, Daniel, In June, In May, Inc, They, Third Brigade, Trend Micro

related to Characteristics · 4

OSSEC → Agent, Agentless, Manager, Unix

Developer · 1

OSSEC → Daniel B. Cid et al.

License · 1

OSSEC → GNU GPL v2

Operating system · 1

OSSEC → Cross-platform

Repository · 1

OSSEC → github.com/ossec/ossec-hids

Stable release · 1

OSSEC → 4.2.0 / 2 August 2026; 22 days ago (2 August 2026)

Type · 1

OSSEC → Security / HIDS

Website · 1

OSSEC → www.ossec.net

Written in · 1

OSSEC → C

Important terminology

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

Important terminology

detection system source intrusion systems multiple windows free open log analysis project hids security cross-platform also operating open-source rootkit host-based

OSSEC relationships Subject–Predicate–Object triples

TTTA extracted 23 structured relationships around OSSEC. Examples in this analysis include OSSEC → Developer → Daniel B. Cid et al. and OSSEC → License → GNU GPL v2. The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
OSSEC	Developer	Daniel B. Cid et al.	1.00	infobox
OSSEC	License	GNU GPL v2	1.00	infobox
OSSEC	Operating system	Cross-platform	1.00	infobox
OSSEC	Repository	github.com/ossec/ossec-hids	1.00	infobox
OSSEC	Stable release	4.2.0 / 2 August 2026; 22 days ago (2 August 2026)	1.00	infobox
OSSEC	Type	Security / HIDS	1.00	infobox
OSSEC	Website	www.ossec.net	1.00	infobox
OSSEC	Written in	C	1.00	infobox
CDN's	instance of	integration with 3rd parties	0.80	text
support portals	instance of	integration with 3rd parties	0.80	text
as well as self-healing actions.Compliance Auditing	instance of	integration with 3rd parties	0.80	text
OSSEC	related to Characteristics	Manager	0.60	section

Related concept clusters Concept neighborhoods

The concept neighborhoods around OSSEC bring nearby vocabulary together. In this analysis, examples include Source, Free and Project. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

OSSEC
- Source
- Free
- Project
- Commercial
- Cross-platform
- Daniel
- Hids
- Security
- Also
- Multiple
- System
- Acquired
ossec
- Source
- Free
- Project
- Commercial
- Cross-platform
- Daniel
- Hids
- Security
- Also
- Multiple
- System
- Acquired
host-based intrusion detection system
- Open-source
- Detection
- Intrusion
- Host-based
- Rootkit
- Security
- Website
- Analysis
- Log
- System
- Windows
- Free
windows registry
- Monitoring
- Integrity
- Registry
- Windows
- Freebsd
- Linux
- Openbsd
- Response
- Rootkit
- Solaris
- Detection
- Active
windows
- Integrity
- Monitoring
- Registry
- Freebsd
- Linux
- Openbsd
- Solaris
- Detection
- Active
- Including
- Operating
- Response
free
- Open
- Host-based
- Open-source
- Source
- Intrusion
- Project
- Ossec
- Detection
- System
- Acquired
- Brigade
- Commercial
log analysis
- Rootkit
- Log
- Multiple
- Detection
- Active
- Integrity
- Monitoring
- Registry
- Response
- Windows
- Ossec
open-source
- Host-based
- Intrusion
- Detection
- Security
- Website
- System
- Source
- Ossec

Connections between topic areas Semantic bridges

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

OSSEC — Overview · splits 8 ⟂ 13

OSSEC — Characteristics · splits 17 ⟂ 4

OSSEC — History · splits 18 ⟂ 3

Map overview Semantic statistics

OSSEC

Nodes21

Edges20

Triples23

Avg. degree1.9

Density0.095238

Components1

Source & methodology

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

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