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The AI Podcast

Ep. 9: Winning the Cybersecurity Cat and Mouse Game with AI

Feb 8, 2017
Dr. Eli David, CTO of Deep Instinct, discusses using AI for cybersecurity, bringing deep learning to combat malware. Topics include evolution of neural networks, AI in cybersecurity, layered defense strategies, and AI-enhanced behavioral analysis for proactive threat prevention.
22:57

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Deep learning in cybersecurity boosts detection rates by 20-30%, outperforming traditional methods.
  • Multi-layered defense strategy aims to make cyber attacks more challenging through AI-driven malware detection.

Deep dives

The Role of AI in Cybersecurity

Dr. Eli David, an expert in computational intelligence and CTO of deep instinct, explains how they apply deep learning to revolutionize cybersecurity. Traditional methods struggle to keep up with the ever-evolving threats, while deep learning can adapt to detect malware mutations and new threats rapidly. By training their deep learning models on vast amounts of data, they achieve significant improvements in detection rates, making it more challenging for attackers to evade detection.

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