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Security Unlocked

The Microsoft Security Podcast

Security Unlocked explores the technology and people powering Microsoft's Security solutions. In each episode, Microsoft Security evangelists Nic Fillingham and Natalia Godyla take a closer look at the latest innovations
10/14/2020

Going 'Deep' to Identify Attacks, and Holly Stewart

Ep. 1
In this episode, hosts Nic Fillingham and Natalia Godyla speak with Arie Agranonik, a Senior Data Scientist in the Microsoft Defender ATP Research team, about building models using deep learning to protect against malicious attacks. It’s complicated work, requiring huge computing power and even larger amounts of data, and it could be the future of threat protection.They also speak with Holly Stewart, a Principal Research Lead at Microsoft, on how building a security team with different perspectives helps to better understand and stop threats. Plus, her journey from the Peace Corps to Microsoft, and how that informs her decision-making.In This Episode, You Will Learn:The difference between deep learning, machine learning and AIWhy it’s so difficult to program a computer to think like ahumanHow adversarial models learn from each other to preventattacksWhy the best security teams are made up of those with differentperspectivesHow data science can train machines to find things humans were not thinking aboutSome Questions We Ask:What is deep learning?Does a neural network mimic the way the human brain functions?How are behavioral observations evolving to combat sophisticated attacks?How do AI and ML factor into solving complicated security problems?What’snext on the horizon for data science?Links:Microsoft Security Bloghttps://www.microsoft.com/security/blog/Arie’s blog posthttps://www.microsoft.com/security/blog/2020/07/23/seeing-the-big-picture-deep-learning-based-fusion-of-behavior-signals-for-threat-detection/