Cybersecurity Search Dataset
Cybersecurity topic, product category, audience, source, demand, urgency, and verification fields for nonoperational market research.
FormatsCSV / JSON / XLSX / PDF
RefreshMonthly review
Version1.1
VerifiedSeptember 20, 2026
This is a market and language dataset about cybersecurity subjects. It is not an attack dataset wearing a friendlier title.
The schema is designed to study topics, product categories, audiences, and source-specific demand while keeping operationally sensitive material out of scope.
Designed For
- cybersecurity topic research
- product category mapping
- content coverage analysis
- language classification
Coverage
Record unitOne cybersecurity topic or query observation
Primary scopeProducts, threats, controls, and research language
ExcludedExploit code, credentials, and operational attack data
Time fieldObservation date and last verified date
Field Dictionary
Schema Preview
| Field | Type | Description | Example |
|---|---|---|---|
security_topic | string | Normalized product, threat, or control topic | identity threat detection |
topic_class | enum | Applied category | security_control |
audience | string | Primary research audience | security team |
urgency_label | enum | Documented research annotation | evaluation |
last_verified | date | Date the source was checked | 2026-09-20 |
Illustrative Rows
Illustrative Cybersecurity Research Records
| security_topic | topic_class | audience | urgency_label | last_verified |
|---|---|---|---|---|
| identity threat detection | security_control | security team | evaluation | 2026-09-20 |
| managed detection service | security_service | IT leadership | comparison | 2026-09-20 |
The sample contains nonoperational research labels and no exploit, credential, or incident data.
Collection And Preparation
- Normalize product and topic labels while retaining source wording.
- Keep product, threat, control, and compliance categories distinct.
- Store urgency and audience labels as applied annotations.
- Exclude credentials, exploit instructions, and operational attack data.
Known Limits
- Topic demand does not establish active threat prevalence.
- Urgency is an applied research label and requires a documented rubric.
- The product is not a vulnerability feed or incident-response dataset.
- Illustrative rows demonstrate structure only.
Useful Applications
- group security topics
- map product categories
- study audience language
- prepare nonoperational text labels
Change Log
- Added scope boundary, schema, sample records, methods, and limitations.