Remember the good ole days when we spent youthful hours playing hide and seek with our friends in the park? Well it turns out that game of hide and seek isn’t just for humans anymore. Researchers have begun putting A.I. to the test by having it play this favorite childhood game over and over and having the software optimize its strategies through automated reinforcement training.   In today’s episode, hosts Nic Fillingham and Natalia Godyla speak with Christian Seifert and Joshua Neil about their blog post Gamifying machine learning for stronger security and AI models, and how Microsoft is releasing this new open-sourced code to help it learn and grow.   In This Episode, You Will Learn: What is Microsoft’s CyberBattleSim? What reinforcement learning is and how it is used in training A.I. How the OpenAI Gym allowed for AI to be trained and rewarded for learning   Some Questions We Ask: Is an A.I. threat actor science fiction or an incoming reality? What are the next steps in training the A.I.? Who was the CyberBattleSim created for?  Resources   OpenAI Hide and Seek:  OpenAI Plays Hide and Seek…and Breaks The Game! 🤖  Joshua and Christian’s blog post:  Gamifying Machine Learning for Stronger Security and AI Models  Christian Seifert’s LinkedIn:  https://www.linkedin.com/in/christian-seifert-phd-6080b51/  Joshua Neil’s LinkedIn:  https://www.linkedin.com/in/josh-neil/  Nic Fillingham’s LinkedIn:  https://www.linkedin.com/in/nicfill/  Natalia Godyla’s LinkedIn:  https://www.linkedin.com/in/nataliagodyla/  Microsoft Security Blog: https://www.microsoft.com/security/blog/ Transcript [Full transcript at https://aka.ms/securityunlockedep26]   See acast.com/privacy for privacy and opt-out information.