Webinar

Using AI and ML for network-optimized DDoS mitigation

Summary

Using AI and ML for network-optimized DDoS mitigation
Looking for better ways to protect your network against distributed denial of service (DDoS) attacks?

Every network is different, and DDoS attacks vary in type, volume, sophistication and concurrency. To keep your network secure, you need automated DDoS mitigation approaches that are tailored to your specific requirements. Artificial intelligence (AI) and machine learning (ML) can help.

Watch our on-demand webinar to learn what types of DDoS attacks you might face, why their origins matter and strategies that can help you mitigate them. We'll show you how Nokia Deepfield Defender combines up-to-date internet security context with advanced AI/ML algorithms to deliver network-optimized DDoS protection.
 

Topics covered

How DDoS attacks are evolving

Why different types of DDoS attacks require different responses

Strategies for protecting against amplification, botnet and proxy attacks

What AI and machine learning (ML) can do to stop DDoS attacks

How Nokia Deepfield Defender uses AI and ML to optimize DDoS protection

 

Speakers

Jérôme Mayer

Deepfield Security Researcher
Nokia

 

 

Moderator

 
 

Overview

Original Air Date: 2024-09-18

Time: On-Demand

Duration: 60 minutes

 

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