Dynamic and Adaptive Profiling
MONITORAPP's profiling technology operates on sophisticated machine learning algorithms and big data analytics, enabling real-time learning and pattern analysis of diverse threat data. This allows for the rapid identification and response to new and evolving threats, offering adaptive security policies. Compared to competitors, MONITORAPP excels in real-time analysis speed and threat detection accuracy, maintaining stable performance even in rapidly changing security environments.
Correlated Analysis of Profiled Threat Data
MONITORAPP's profiling technology integrates a proprietary threat profile database with industry-standard threat intelligence. This enables effective responses not only to known threats but also to emerging and unknown threats. Additionally, advanced metadata analysis features like API Discovery and Device Fingerprinting are incorporated, allowing precise identification of relationships between networks, applications, and user devices.
Precise Data Filtering
The core of profiling technology lies in its threat detection accuracy. MONITORAPP leverages multidimensional data analysis and advanced pattern matching techniques to minimize false positives. By comparing threat data with previously profiled threat information, the technology clearly identifies the type and path of threats. This enables the rapid and effective implementation of appropriate security policies.