Behavior-Based Threat Detection

Profiling technology analyzes data such as network traffic, user activities, and file behaviors to distinguish between normal and abnormal patterns. This enables real-time detection of unknown threats or mutated malware behaviors, allowing for swift response at the early stages of an attack.

Precise Threat Classification and Analysis

By leveraging collected data, threats are classified with precision and compared to previously identified threats to derive new characteristics. Techniques like malware similarity analysis provide insights into the traits of new and evolving malware, forming the basis for effective responses.

Automated Security Policy Optimization

Profiling technology continuously learns and updates patterns to adapt to changing threat landscapes. Through features like automated security policy management, API Discovery, and Device Fingerprinting, network and application security policies are dynamically optimized. This minimizes repetitive manual tasks and supports efficient security management.