Microsoft releases a cyberattack simulator
By MYBRANDBOOK
Microsoft has released an open-source cyberattack simulator that allows security researchers and data scientists to create simulated network environments and see how they fare against AI-controlled cyber agents. The simulator called CyberBattleSim, is available under an open source license and relies on the Python-based Open AI Gym toolkit to train the automated agents based on reinforcement learning algorithms.
The simulated attacker’s goal is to take ownership of some portion of the network by exploiting these planted vulnerabilities. While the simulated attacker moves through the network, a defender agent watches the network activity to detect the presence of the attacker and contain the attack," the Microsoft 365 Defender Research Team explains in a new blog post.
"With CyberBattleSim, we are just scratching the surface of what we believe is a huge potential for applying reinforcement learning to security. We invite researchers and data scientists to build on our experimentation. We’re excited to see this work expand and inspire new and innovative ways to approach security problems." - Microsoft.
Microsoft continues to harness AI and machine learning to solve security challenges. One area we’ve been experimenting on is autonomous systems and the automated cyber agents (threat actors) are then deployed in the environment, where they randomly select actions to perform against the various nodes to take control over them.
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