Varist Predictive Detection Engine is a malware detection platform that performs real-time file scanning at scale. The engine combines signature-based detection with heuristic analysis to identify both known malware and zero-day threats. The platform processes files through static and dynamic analysis techniques, including automated emulation to simulate how anomalies evolve into attacks. This hybrid detection approach examines files for indicators of compromise while running simulations to identify evasion techniques and obfuscation methods. The engine maintains a 3PB malware repository that is updated approximately 40 times per day by the Varist Global Intelligence Team. File analysis is performed with an average processing time of under 8.5 milliseconds per file, enabling the system to scan approximately 500 files per second. The deployment footprint includes an engine size of approximately 10MB and a signature database under 120MB. The platform is designed for integration into existing security architectures across cloud and on-premises environments. Metadata from file analysis can be used to update security policies and inform threat blocking decisions. The system aims to reduce false positives while prioritizing risk in real-time, supporting security operations teams in incident response and threat detection workflows.