| --- |
| license: other |
| license_name: proprietary-commercial |
| task_categories: |
| - tabular-classification |
| - tabular-regression |
| - text-classification |
| language: |
| - en |
| tags: |
| - cybersecurity |
| - synthetic |
| - security-logs |
| - siem |
| - soc |
| - threat-detection |
| - threat-intelligence |
| - malware-protection |
| - anomaly-detection |
| - network-security |
| - enterprise-security |
| - data-loss-prevention |
| - firewall |
| - ssl-inspection |
| - dns-security |
| - access-control |
| - incident-response |
| - parquet |
| - large-scale |
| - synthetic-data |
| size_categories: |
| - 1B<n<10B |
| pretty_name: Zia Security Events — 1B Synthetic Records |
| extra_gated_heading: Access Verification Required |
| extra_gated_description: >- |
| To access this 1.03B row dataset, you must first complete the $99.00 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 Security Events — 1B Synthetic Records |
|
|
| ## Dataset Description |
|
|
| A production-grade dataset containing over 1,030,000,000 rows of high-fidelity enterprise security logs. Built specifically for training ML threat detection models, stress-testing SIEM/SOC pipelines, and benchmarking big data applications — without exposing real credentials or PII. |
|
|
| - **Massive Scale:** 1B+ rows pre-sharded into 10 Parquet files (~78.3 GB) |
| - **Rich Schema:** 10 core columns including IPs, timestamps, risk scores, and SHA-256 hashes |
| - **Realistic Distribution:** Covers 12 security categories and 36 actions with a true-to-life 85% Success / 15% Failure split |
|
|
| ### ⚠️ SAFETY & FIDELITY NOTICE — Zia-Data-Labs |
|
|
| This dataset is high-fidelity synthetic data engineered to mirror real-world patterns with exceptional accuracy, useful for realistic testing of detection pipelines and ML models. |
|
|
| This dataset is strictly intended for research, evaluation, and development within isolated sandbox or staging environments. |
|
|
| Zia-Data-Labs provides all datasets on an "as-is" basis. We do not assume liability for downstream model behavior, deployment risks, or production system impacts. Users are solely responsible for conducting independent safety audits prior to any live deployment. |
|
|
| ### Instant Free Sample |
|
|
| Test the quality immediately. No account or signup required. |
|
|
| **Download 50-Row Free Sample (CSV)** |
|
|
| ## Access & Pricing |
|
|
| ### 1. Full Dataset Access — $99.00 |
| All 1.03 Billion rows on Hugging Face. |
|
|
| Pay securely via PayPal: [Click Here to Pay](https://www.paypal.com/ncp/payment/QE5UPRTDE5F44) |
|
|
| 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. |
|
|
| Need enterprise-scale licensing (28B+ rows)? Contact zia.data.team@protonmail.com |
|
|
| ## How to Load |
|
|
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset("ziadatalabs/Zia-Security-Events-1B-Synthetic") |
| print(ds['train'][0]) |
| ``` |
|
|
| ## Data Schema & Fields |
|
|
| | Field Name | Data Type | Description | |
| |---|---|---| |
| | id | int64 | Unique row ID | |
| | timestamp | int64 | Unix epoch timestamp | |
| | admin_id | string | Synthetic administrator identifier | |
| | client_ip | string | RFC-1918 synthetic IP address | |
| | category | string | Security category (e.g., DLP, Malware Protection) | |
| | action | string | Action taken (e.g., Block, Quarantine) | |
| | result | string | Outcome (Success / Failure) | |
| | score | float64 | Risk score (0.0 - 1.0) | |
| | source | string | Data provenance | |
| | sha256_hash | string | Per-row integrity hash | |
| |
| ## Technical Specifications |
| |
| - **Format:** Apache Parquet (10 Shards) |
| - **Total Records:** 1,030,000,000 |
| - **Total Size:** ~78.3 GB |
| - **License:** Proprietary / Custom Commercial (Internal R&D and Training) |
| - **Producer:** Zia Data Labs (2026) |
| - **Strictly Prohibited:** Public redistribution, resale, or mirroring of the raw Parquet shards is forbidden under our commercial terms. |
| |
| ## Citation |
| |
| Zia Data Labs, 2026 |
| https://huggingface.co/datasets/ziadatalabs/Zia-Security-Events-1B-Synthetic |
