Introducing EvidenceForge: Synthetic security logs that don’t look (as) fake

• Security teams need high-quality, labeled datasets to train threat hunters and incident responders, validate detection logic, and develop robust analytic models. 
• EvidenceForge helps teams overcome the limitations of anonymized or stale public datasets, while avoiding the cost and complexity of setting up real infrastructure and performing manual attack simulations to create their own.
• The tool incorporates sophisticated timing models and assigns specific roles to users and systems, generating realistic malicious activity, background noise, and “red herrings” to optimize data realism. 
• The tool generates correlated logs across 20+ Windows, Linux, and network monitoring formats using a canonical event model that ensures causal and temporal consistency.

Good data is hard to find… and to create

A lot of important work in security depends on having realistic log data to work with, and a lot of that work gets blocked, watered down, or quietly skipped because…