Integration of Machine Learning and Sandbox
Machine learning models, trained using artificial intelligence and big data, integrate with various open-source tools such as Cuckoo, Suricata, and YARA Rule, as well as commercial third-party sandbox and antivirus solutions. This multidimensional analysis minimizes false positives, maximizes detection accuracy, and ensures rapid analysis—a critical element of sandbox technology. Additionally, proprietary techniques like malware similarity profiling enable effective responses to new and evolving malware variants.
High-Performance RBI Engine
RBI (Remote Browser Isolation) technologies are categorized into pixel-pushing and DOM reconstruction approaches. MONITORAPP's RBI adopts the pixel-pushing approach, offering superior application compatibility compared to DOM reconstruction. However, as pixel-pushing is resource-intensive, advanced optimization is essential—a core strength of MONITORAPP's technology. The RBI engine excels in high-demand environments, delivering rapid performance and robust stability. It analyzes all browser content in real time, processes it securely, and maintains an optimized traffic management performance to provide a seamless user experience without delays.