Zia SOC Events: 20 Million Synthetic Security Logs for ML Training

Over 20,000,000 rows of high-fidelity synthetic Security Operations Center event logs are provided in this dataset. It was created by Zia-Data-Labs for training machine learning models and stress-testing security pipelines without exposing real sensitive information. The dataset page was last updated on 2026-06-10.

Use Cases

• Training ML-driven threat detection models based on synthetic SOC event logs.
• Stress-testing SIEM pipeline performance and scalability using high-volume event data.
• Benchmarking SOC analyst workflows and response procedures in a safe environment.
• Developing anomaly detection algorithms for security events without privacy risks.

Strengths

• Contains over 20,000,000 rows, providing a large-scale resource for model training.
• Synthetic nature avoids exposure of real credentials, IP infrastructure, or PII.
• Described as 'production-grade' and built for specific security ML use cases.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• The description references a 'Rich Schema' of 23 core fields, but the full details are not provided here.
• Data freshness should be verified as the last update timestamp is in the future (2026-06-10).

Provenance

Source

Zia-Data-Labs via Hugging Face.

Collection Method

Synthetically generated.

Freshness

Last updated 2026-06-10 00:34:08.