Graphen CyberImmune

Self-defense AI cybersecurity against advanced, persistant cyber threats.

APTs and Insider 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.


Protection Against APTs and Insider Threats

Graphen CyberImmune 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.


Tested and Approved

Graphen CyberImmune APT Cybersecurity is deployed at one of the largest banks in their NYC branch as their their internal cybersecurity system. It has proven to:

  • Reduces false alarm;
  • Improved detection rates;
  • Utilizing advanced AI technology to detect hidden and potential threats.
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    Advanced Risk Detection and Prediction

    Risk Detection

    Graphen CyberImmune APT Cybersecurity provides advanced capabilities to detect threats that already entered and resided in the organization. It can detect through both contextual analysis and human behavior reasoning.

    Behavior Monitoring and Prediction

    The solution breaks free from limitations of existing anti-threat applications and event management systems. It monitors user and device behavior over a long period of time.

    Graph AI Powered System

    Entities and activities are analyzed by our AI solution to automatically rank real-time risk of each entity in context.

    Self-Defsense System

    Terabyte-scale, long-term monitoring and automatic detection to report and predict advanced persistent track (APT) including, but not limited to, espionage, sabotage, fraud, etc.
    Similar to how the immune system functions inside human body, CyberImmune self-defenses abnormal behaviors by autonomous learning.


    Request a demo today.