| --- |
| gated: true |
| license: other |
| license_name: proprietary-commercial |
| language: |
| - en |
| tags: |
| - cybersecurity |
| - synthetic |
| - incident-response |
| - siem |
| - soc |
| - threat-detection |
| 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 Incident Response — 200M Synthetic Records |
|
|
| ## Dataset Description |
|
|
| A production-grade dataset containing over 200,000,000 rows of high-fidelity enterprise incident response logs. Built specifically for training ML-driven triage and response models, stress-testing SIEM/SOC pipelines, and benchmarking incident lifecycle workflows — without exposing real credentials or PII. |
|
|
| - **Massive Scale:** 200M+ rows delivered in Parquet format |
| - **Rich Schema:** 16 core columns covering the full incident lifecycle from detection to resolution |
| - **Realistic Distribution:** Spans 12 incident categories with true-to-life severity weighting |
| - **Incident Lifecycle Coverage:** From initial alert trigger through containment, eradication, and closure |
|
|
| ## 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/ZiaSyntheticSecurityIncidentResponse200M/resolve/main/sample_50rows.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/ZiaSyntheticSecurityIncidentResponse200M") |
| print(ds['train'][0]) |
| ``` |
|
|
| ## Data Schema & Fields |
|
|
| | Field Name | Data Type | Description | |
| | ------------------- | --------- | ----------------------------------------------- | |
| | Incident\_ID | string | Unique incident tracking identifier | |
| | Timestamp\_Detected | string | Date and time the incident was captured | |
| | Incident\_Type | string | Category of attack (Ransomware, Phishing, etc.) | |
| | Severity | string | Critical, High, Medium, Low | |
| | Affected\_System | string | Corporate asset targeted | |
| | Region | string | Geographic location of targeted infrastructure | |
| | Responding\_Team | string | Internal security cell handling mitigation | |
| | MTTD\_Hours | float32 | Mean Time to Detect (fractional hours) | |
| | MTTR\_Hours | float32 | Mean Time to Respond (fractional hours) | |
| | Contained | string | Whether threat was successfully isolated | |
| | Compliance\_Check | string | Post-incident evaluation status | |
| | Playbook\_Followed | string | Whether SOPs were adhered to | |
| | Status | string | Final lifecycle state of the ticket | |
| | False\_Positive | string | Whether the alert was a benign event | |
| | Escalated\_To\_CISO | string | Executive leadership visibility required | |
| | IR\_Score | float32 | Incident response performance score (81-100) | |
| |
| ## Technical Specifications |
| |
| - **Format:** Apache Parquet |
| - **Total Records:** 200,000,000 rows |
| - **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/ZiaSyntheticSecurityIncidentResponse200M> |
| |
