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Phen (CCG’s proprietary cognitive learning Artificial Intelligent, patent-pending has been designed with methods to independently analyze systems, hunt for insider threats, and score these threats in order to help establish which systems are critical and recommend what additional protections are required. Phen uses the knowledge collected about a target including the frequency of changes and vulnerability history.

Phen will use system type, location (proximity to the Internet where visibility of the system and increased opportunity to unauthorized access increases), services used (number of different services, increases the software on each system and increases the attack footprint increasing breach opportunities), looks into the usage of those services. One advantage is that if an adversary that wants to access the Enterprise, Phen constantly acquires additional information and provides security monitoring and defenses that are unique to each target throughout the system as a whole as well as its components.

Phen can throttle the amount and depth of cyber-defense based on history and knowledge of your entire network. It can simultaneously focus on both the full network as well as smaller subsets, down to individual machines and devices. Phen also can rapidly ingest and analyze massive amounts of PCAP data, amounts that are too much for any human or team to understand in real-time, and will be able to capture and analyze vast amounts of the network traffic data.