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

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