Santosh02411/Malware-detection

This project is a prototypical machine learning exercise, likely based on a standard academic or Kaggle dataset (such as the Microsoft Malware Prediction dataset). With only 2 stars and a velocity of 0, it lacks any market traction or community support. From a competitive standpoint, it offers no moat; the use of Explainable AI (XAI) libraries like SHAP or LIME to interpret malware classification is a standard industry practice rather than a proprietary breakthrough. The project faces extreme frontier risk as major platform holders (Microsoft with Windows Defender, Google with Chronicle/Mandiant) and established EDR players (CrowdStrike, SentinelOne) already deploy highly sophisticated, multi-layered ML models with deep OS-level integration that this standalone script cannot replicate. The displacement horizon is effectively immediate, as existing enterprise and consumer security solutions provide superior, real-time protection and more robust telemetry.