Yawning Titan

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Category:AI Agent Development Frameworks

Overview

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

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cybersecurity researchers AI developers network security analysts machine learning engineers

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.

Autonomy level

81%

Reasoning: Yawning Titan is designed for high autonomy in simulated cyber defense scenarios, enabling blue agents to independently execute actions like node isolation and restoration using reinforcement learning (RL) policies. Its architecture supports real-time decision-making against probabilistic red agents without human intervention during episodes. Howev...