Cryptomage Description
Threat detection allows deep inspection of every network packet, including transported data. Machine Learning algorithms - proactive traffic risk scoring. Network steganography detection for hidden network traffic, including data breaches, espionage channels and botnets. Proprietary Steganography detection algorithms - a method of discovering hidden information. Proprietary Steganography Signature Database - Comprehensive collection of network steganography methods. To better assess the ratio of security events to traffic source, forensics are used. Easy extraction of high-risk network traffic. This allows you to focus on specific threat levels. Extended storage of traffic metadata enables faster trend analysis.