A production-grade dataset containing over 20,000,000 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: 20M+ rows delivered in Parquet format
Rich Schema: 17 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

⚠️ SAFETY & FIDELITY NOTICE — Zia-Data-Labs

This dataset is high-fidelity synthetic data engineered to mirror real-world patterns with exceptional accuracy. In benchmark testing, leading AI models treat this data as authentic — recognizing edge cases, flagging anomalies, and generating functional code with zero scrubbing required.

Because of this realism, improper use during model fine-tuning can trigger deep behavioral shifts in production systems.

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 data quality immediately. No account or signup required.

Download 50-Row Free Sample (CSV)

Try the AI Challenge

Paste this free sample into Gemini or ChatGPT. Ask the AI to run a full incident response analysis. Both models independently flag the embedded anomalies, isolate the highest-risk incident IDs, and write functional Python code to graph severity trends. Independently scored 100/100 for realism — no scrubbing necessary.

Access & Pricing

1. Full Dataset Access — $20.00

All 20,000,000 rows on Hugging Face.

Pay securely via PayPal: Click Here to Pay
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 — $499.99

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("ziadatalabs/Zia-Synthetic-Data_Security-Incident-Response") 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)
WM_TAG	string	Synthetic generation watermarking tag

Technical Specifications

Format: Apache Parquet
Total Records: 20,000,000 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/ziadatalabs/Zia-Synthetic-Data_Security-Incident-Response

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