Order vs. Mad Science: Analyzing Black Hat Swarm Intelligence

White hat defense systems continue to improve on supervised learning sets using machine and deep learning neural networks to defend against an exploding attack surface. Zombies that require commands from botnet herders are becoming intelligent, capable of their own decisions as we saw with Hajime in 2017. Swarm intelligence can be used to enhance these networks. What can we do to defend?

Learning Objectives:
1: Learn about the current state of black hat automation/AI practices.
2: Understand the next stage of black hat swarm intelligence hive networks
3: Gain insight into practical defense approaches using white hat automation and AI.

Speaker: Derek Manky

Derek Manky brings more than 15 years of experience in cybersecurity, originating in malware analysis. He plays a strategic and visionary role in consulting with leading CSOs/CISOs of Fortune 500 companies worldwide across multiple industries. As a cybersecurity expert, his work has included meetings with leading political figures and key policy stakeholders globally, including law enforcement, which helps define the future of cybersecurity. He is actively involved with several global threat intelligence initiatives including NATO NICP, INTERPOL Expert Working Group, the Cyber Threat Alliance (CTA) and the Forum for Incident Response and Security Teams (FIRST). Manky has been with the CTA since it was founded in May 2014 and sits on the steering committee.

Detailed Presentation:

(Source: RSA Conference USA 2018)
 
 

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