--- license: other license_name: alerterra-commercial license_link: https://alerterra.com/data-license tags: - synthetic - cybersecurity - threat-intelligence - mitre-attack - incidents size_categories: - 1K Threat events with MITRE ATT&CK TTPs, attribution, and impact quantification **Publisher:** [Alerterra Intelligence](https://alerterra.com) | **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](https://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 ```bibtex @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](https://alerterra.com) - **Data inquiries:** data@alerterra.com - **Enterprise:** enterprise@alerterra.com