Nemesis: Open-source offensive data enrichment and analytic pipeline

Nemesis is a centralized data processing platform that ingests, enriches, and performs analytics on offensive security assessment data (i.e., data collected during penetration tests and red team engagements).​​ Nemesis was created by Lee Chagolla-Christensen and Will Schroeder, both security researchers at SpecterOps. Analyzing the details of an individual file Centralized data processing with Nemesis The solution attempts to address three main issues: Knowledge about offensive tradecraft is difficult to scale due to the rapid pace … More →

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