ZiaSyntheticDataThreatIntelligence: 20 Million Synthetic Threat Intelligence Records

20,000,000 rows of high-fidelity synthetic threat intelligence telemetry generated by Zia Data Labs. This production-grade dataset is designed to simulate continuous threat intelligence ingestion at enterprise scale for building detection models. The dataset was last updated on June 10, 2026.

Use Cases

• Training threat detection models based on simulated enterprise-scale telemetry.
• Developing actor attribution algorithms using synthetic threat intelligence data.
• Benchmarking security analytics pipelines on large-scale, pre-sharded data.
• Researching machine learning applications for cybersecurity with a controlled synthetic dataset.

Strengths

• Contains 20,000,000 rows, providing a large-scale resource for model training.
• Data is pre-sharded into Parquet files, which may facilitate distributed processing.
• Explicitly designed as a production-grade synthetic dataset for cybersecurity applications.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• The synthetic nature of the data means it may not perfectly reflect real-world threat patterns.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Zia Data Labs

Collection Method

Synthetically generated.

Freshness

Last updated 2026-06-10 12:04:03; freshness should be verified.