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Yawning Titan

Yawning Titan AI Agent
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Overview

An open-source, graph-based cyber-security simulation environment for training intelligent agents in autonomous cyber defense operations.

Yawning Titan is an abstract, graph-based cyber-security simulation environment designed to facilitate the training of intelligent agents for autonomous cyber operations. Developed by the Defence Science and Technology Laboratory (Dstl), it focuses on enabling defensive autonomous agents to counter probabilistic red (attacker) agents within simulated network environments. Built on OpenAI's Gym framework, Yawning Titan supports a wide range of reinforcement learning algorithms and offers flexible environment configurations, making it a valuable tool for research and development in cyber defense strategies.

Some of the use cases of Yawning Titan:

  • Training reinforcement learning agents for autonomous cyber defense.
  • Simulating cyber-security scenarios to test defensive strategies.
  • Developing and evaluating AI-driven responses to network intrusions.
  • Researching agent generalization across varying network topologies.

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