SocEvents200M / README.md
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---
gated: true
license: other
license_name: proprietary-commercial
language:
- en
tags:
- cybersecurity
- synthetic
- soc
- siem
- threat-detection
- network-security
- mitre-attack
- pci-dss
- incident-response
task_categories:
- tabular-classification
- tabular-regression
- text-classification
size_categories:
- 100M<n<1B
extra_gated_heading: Access Verification Required
extra_gated_description: >-
To access this 200M row dataset, you must first complete the $20.00 access fee
via PayPal and provide your payment details below.
extra_gated_button_content: Request Access
extra_gated_fields:
PayPal Transaction ID or Payer Email: text
---
# Zia SOC Events — 200M Synthetic Records
## Dataset Description
A production-grade dataset containing over 200,000,000 rows of high-fidelity Security Operations Center (SOC) event logs. Built specifically for training ML-driven threat detection and triage models, stress-testing SIEM pipelines, and benchmarking SOC analyst workflows — without exposing real credentials, IP infrastructure, or PII.
- **Massive Scale:** 200M+ rows delivered in Parquet format
- **Rich Schema:** 23 core columns covering the full SOC event lifecycle
- **Realistic Distribution:** IDS Alerts, Malware Detection, Ransomware Indicators, Lateral Movement, Privilege Escalation, and Data Exfiltration Attempts
- **MITRE ATT&CK Mapped:** Every event tagged with tactic and technique
- **PCI-DSS Aware:** Includes cardholder data environment scoping
- **Network Layer Detail:** Source/destination IPs, ports, and protocols included for every event
---
## Instant Free Sample
Test the data quality immediately. No account or signup required.
[Download 50-Row Free Sample (CSV)](https://huggingface.co/datasets/Zia-Data-Labs/ZiaSyntheticDataSocEvents200M/resolve/main/soc_events_sample.csv)
## Access & Pricing
### 1. Full Dataset Access — $20.00
All 200,000,000 rows on Hugging Face.
- Pay securely via PayPal: [Click Here to Pay](https://www.paypal.com/ncp/payment/TRY8ADZTN2ETN)
- Email your Hugging Face username to: zia.data.team@protonmail.com
- Your account will be whitelisted within 24 hours.
### 2. Custom 1 Billion Row Dataset — $999.99
Built to your exact specifications. Contact zia.data.team@protonmail.com for details.
## How to Load
```python
from datasets import load_dataset
ds = load_dataset("Zia-Data-Labs/ZiaSyntheticDataSocEvents200M")
print(ds['train'][0])
```
## Data Schema & Fields
| Field Name | Data Type | Description |
| ---------------- | --------- | --------------------------------------- |
| EVENT_ID | string | Unique event tracking identifier |
| TIMESTAMP | string | Date and time the event was captured |
| EVENT_TYPE | string | Category of security event |
| SEVERITY | string | Critical, High, Medium, Low |
| PRIORITY | int | Numeric priority level (1=highest) |
| SRC_IP | string | Source IP address |
| DST_IP | string | Destination IP address |
| SRC_PORT | int | Source port number |
| DST_PORT | int | Destination port number |
| PROTOCOL | string | Network protocol used |
| HOSTNAME | string | Hostname of the affected asset |
| USERNAME | string | Username associated with the event |
| ASSET_TYPE | string | Type of corporate asset targeted |
| ASSET_ZONE | string | Network zone of the targeted asset |
| ALERT_NAME | string | Human-readable alert rule name |
| MITRE_TACTIC | string | MITRE ATT&CK tactic category |
| MITRE_TECHNIQUE | string | MITRE ATT&CK technique ID |
| ACTION_TAKEN | string | Analyst or automated response action |
| ANALYST_SCORE | float32 | Risk score (0.00–10.00) |
| FALSE_POSITIVE | string | Whether the alert was benign |
| TICKET_ID | string | Associated incident ticket identifier |
| ENVIRONMENT | string | Infrastructure environment |
| PCI_SCOPE | string | Whether asset is in PCI-DSS scope |
## Technical Specifications
- **Format:** Apache Parquet
- **Total Records:** 200,000,000 rows
- **Total Columns:** 23
- **License:** Proprietary / Custom Commercial
- **Producer:** Zia Data Labs (2026)
- **Strictly Prohibited:** Public redistribution, resale, or mirroring of the raw Parquet files is forbidden under our commercial terms.
## Citation
Zia Data Labs, 2026. https://huggingface.co/datasets/Zia-Data-Labs/ZiaSyntheticDataSocEvents200M