How to Detect Malware in Encrypted Traffic, Without Decrypting it, Using Artificial Intelligence

  • Date 06 Jun 2019

How to Detect Malware in Encrypted Traffic, Without Decrypting it, Using Artificial Intelligence

06 Jun 2019, 11:20 - 11:45

Tech Talks
Language:
English

The rapid rise of encrypted traffic is changing the threat landscape. It’s reported that as of 2018, nearly half of all Internet traffic is protected by HTTPS and the amount of encrypted traffic on the network will only continue to increase. Encryption enables greater privacy and security, which is particularly necessary for mobile, cloud, and web applications. However, attackers are also using encryption to conceal malware and evade detection by traditional security products. So what used to be a safe and reliable protocol has now become an opportunity for cyber criminals. Find out how you can detect threats in encrypted traffic WITHOUT having to decrypt the data – using Artificial Intelligence.

Learning Outcomes:

  1. Discover how to detect threats in encrypted traffic
  2. Automate network visibility tools
  3. Reduce time to detection
  4. How to inspect encrypted traffic
  5. Discover the power of multi layered machine learning to scale your threat analysis

 

Contributors

  • Mustafa Mustafa

    Speaker

    Consulting Systems Engineer

    Cisco

    With over 11 years security experience, Mustafa has been enabling partners and customers from all verticals to leverage Cisco security products and...

Business Issues covered

  1. What will this session help you to do?
    • Mitigate the effects of new vulnerabilities and exploits‎

ReedExpo.Nova.Framework.Categorization.CategorySelection

Sponsors

Cisco

We use cookies to operate this website and to improve its usability. Full details of what cookies are, why we use them and how you can manage them can be found by reading our Privacy & Cookies page. Please note that by using this site you are consenting to the use of cookies.