Zia Security Events: 1 Billion Synthetic Enterprise Security Audit Logs

Zia Security Events 1B Synthetic is a production-grade synthetic security event dataset containing 1,000,000,000 rows of realistic enterprise security audit logs. It was generated by Zia Data Labs for machine learning engineers, cybersecurity researchers, SIEM vendors, and AI training pipelines. The dataset was last updated on HuggingFace on 2026-05-17.

Use Cases

• Training anomaly detection models based on realistic enterprise security audit logs.
• Benchmarking SIEM (Security Information and Event Management) systems based on synthetic security event streams.
• Developing and testing AI training pipelines for cybersecurity based on a large-scale, synthetic corpus.
• Conducting cybersecurity research on attack patterns based on generated, high-fidelity security data.

Strengths

• Contains 1,000,000,000 rows of synthetic data, providing a massive scale for model training.
• Described as 'production-grade' and containing 'realistic enterprise security audit logs', suggesting high-fidelity generation.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset uses a 'Proprietary / Custom Commercial License', which may restrict usage.

Provenance

Source

Zia Data Labs (ziadatalabs).

Collection Method

Synthetically generated.

Freshness

Last updated 2026-05-17 21:25:48; freshness should be verified.