ZiaSyntheticVulnerabilityScanning: 20M Synthetic Vulnerability Telemetry Records

Zia Data Labs generated a production-grade synthetic dataset containing 20,000,000 rows of high-fidelity vulnerability scanning telemetry. The dataset is pre-sharded into 40 Parquet files and was last updated on 2026-06-11. It is intended for building next-generation vulnerability management and patch prioritization models.

Use Cases

• Training ML models for vulnerability risk scoring based on synthetic telemetry data.
• Developing patch prioritization algorithms based on simulated vulnerability scanning data.
• Benchmarking security analytics tools using large-scale synthetic vulnerability records.
• Researching attack surface patterns using high-fidelity simulated telemetry.

Strengths

• Contains 20,000,000 rows of synthetic data, providing a large-scale resource.
• Data is described as 'production-grade' and 'high-fidelity', suggesting quality simulation.
• Pre-sharded into 40 Parquet files, which may aid in distributed processing.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.
• Freshness should be verified as the last update timestamp is from 2026-06-11.

Provenance

Source

Zia Data Labs

Collection Method

Synthetically generated.

Freshness

Last updated 2026-06-11 20:16:24