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Autonomous Cyber Defense: AI and the Immune System Approach

Nabil Zoldjalali



Time:
TBD
Track: TBD

From insiders to sophisticated external attackers, the reality of cyber security today is that the threat is already inside. Legacy approaches to cyber security are simply not sufficient to combat new, evolving attacks, and no human cyber analyst can watch so much or react quickly enough. A fundamentally new approach to cyber defense is needed to detect and respond to these threats that are already inside the network - before they turn into a full-blown crisis. Self-learning systems represent a fundamental change in automated cyber defense. Based on machine learning and probabilistic mathematics, these new approaches can spot abnormal activity as it emerges. Discover why autonomous response and machine learning is the future of defense and how the 'immune system' approach to cyber security provides complete network visibility and the ability to prioritize threats in order to better allocate time and resources.

BIO:

Nabil Zoldjalali is a Senior Cyber Security Technology Specialist at Darktrace, based out of the company’s Toronto office. Nabil has comprehensive technological experience with Darktrace’s Enterprise Immune System, the only AI technology capable of detecting and autonomously responding to early-stage cyber-threats. He advises Darktrace’s strategic Fortune 500 customers in North America on advanced threat detection, machine learning, and automated response. Nabil graduated from McGill University with a Bachelor of Engineering in Electrical and Electronic Engineering.