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Cybersecurity Threat Event Simulation Data
Threat events with MITRE ATT&CK TTPs, attribution, and impact quantification
Publisher: Alerterra Intelligence | Version: 1.0 | Updated: March 2026
Overview
This dataset is part of the Alerterra Synthetic Intelligence Data Suite — 143 records across 25 fields, generated using domain-specific AI models trained on patterns from Alerterra's enterprise intelligence platform.
100% synthetic — zero PII, zero real entity data. Safe for AI/ML model training, system testing, compliance demonstrations, and analyst training.
Use Cases
- Train threat detection and attribution models
- Build and validate incident response playbooks
- Test SIEM/SOAR systems against realistic threat patterns
- Quantify cyber risk for insurance underwriting
- Support red team/blue team training exercises
Dataset Structure
| Metric | Value |
|---|---|
| Records | 143 |
| Fields | 25 |
| Formats | CSV, JSON, Parquet |
| Update Frequency | Monthly |
Fields
| Field | Type | Description |
|---|---|---|
event_id |
object | Event Id |
event_date |
object | Event Date |
threat_type |
object | Threat Type |
threat_actor |
object | Threat Actor |
attribution_country |
object | Attribution Country |
attribution_confidence |
object | Attribution Confidence |
target_sector |
object | Target Sector |
target_country |
object | Target Country |
target_organization_size |
object | Target Organization Size |
severity |
int64 | Severity |
mitre_attack_tactics |
object | Mitre Attack Tactics |
mitre_attack_techniques |
object | Mitre Attack Techniques |
initial_access_vector |
object | Initial Access Vector |
impact_type |
object | Impact Type |
financial_impact_usd |
float64 | Financial Impact Usd |
records_compromised |
float64 | Records Compromised |
downtime_hours |
float64 | Downtime Hours |
ransom_demanded_usd |
float64 | Ransom Demanded Usd |
ransom_paid |
bool | Ransom Paid |
detection_time_hours |
float64 | Detection Time Hours |
containment_time_hours |
float64 | Containment Time Hours |
recovery_time_days |
float64 | Recovery Time Days |
cve_exploited |
object | Cve Exploited |
geopolitical_context |
object | Geopolitical Context |
indicators_of_compromise |
object | Indicators Of Compromise |
Sample Data
This repository contains a free sample (100 records). The full dataset and monthly refresh subscriptions are available at alerterra.com.
Pricing
| Tier | Details |
|---|---|
| Sample | Free (100 records) |
| Standard | $3,000 (5K events, one-time) |
| Professional | $10,000/year (quarterly refresh) |
| Enterprise | $25,000-$100,000/year (custom, API) |
Methodology
Generated using Claude AI with domain-specific context injection encoding Alerterra's intelligence platform expertise (Vigila, Tradana, Gradara, Condura, Scrutera, RegSeal). Every dataset undergoes automated statistical validation, correlation analysis, and domain-specific business rule checks.
Citation
@dataset{alerterra_cyber_threat_events_2026,
title = {Cybersecurity Threat Event Simulation Data},
author = {Alerterra Intelligence},
year = {2026},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/alerterra/cyber_threat_events}
}
Contact
- Website: alerterra.com
- Data inquiries: data@alerterra.com
- Enterprise: enterprise@alerterra.com
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