Graphen Artificial Intelligence
Self-defense AI cybersecurity against advanced, persistant cyber threats.
Advanced persistent threats (APTs) are attacks that gain an unauthorized foothold for the purpose of executing an extended, continuous attack over a long period of time. According to MITRE ATTACK®, a globally-accessible knowledge base of adversary tactics and techniques based on real-world observation, there are 110 reported types of attack tactics which include 178 attack techniques and 352 attack sub-techniques.
A typical APT often goes through the sequence of external resonnaissance, gaining access, internal reconnaissance, expanding access, gathering information, information extraction, control of information leaks and erasing tracks.
APTs and Insider Threats are hard to catch by traditional anti-virus and malware detection. Organizations need a sophisticated, self-defense strategy to protect them from such advanced attacks.
Graphen Apt Cybersecurity is a user behavior analytics-based cybersecurity monitoring system that detects ATPs and Insider Threats.
Built upon SIEM (Security Information and Event Management), with deeop domain knowledge on APT attack potentials and anomoalis, the solution gathers all relevant and available information about users, devices, applications and networks, detecting anomalies at various levels.
It provides an aggregate risk assessment to predict cybersecurity risks of all entities within the organization.
Graphen APT Cybersecurity is deployed at one of the top three Chinese banks in their NYC branch as their their internal cybersecurity system. It has proven to:
