zyWAF – A Machine Learning Based Web Application Firewall

Machine Learning and Artificial Intelligence are used to protect websites using a powerful positive security model:

  1. All HTTP and HTTPS website communications data flows into zyWAF
  2. zyWAF evaluates the incoming communications data using its Artificial Intelligence to identify safe communications data – this is the “Positive Security Model”
  3. Safe communications data is forwarded to the web server by zyWAF
  4. Communications data that is not safe is blocked by zyWAF
  5. Blocked communications data is logged by zyWAF and threat data is presented interactively or via emailed reports
  6. zyWAF monitors the website continuously and learns website changes without the need for manual updating

Key Value:

  • Customized Data Model for every website,protects actively and efficiently.
  • Without dependency on Signature Libraries.  Protects against unknown new threats immediately.

zyWAF – Functionality:

1.zyWAF’s Positive Security Model means that a request will be determined as an attack unless it is evaluated as being safe. Rather than trying to look for every possible attack, zyWAF identifies safe traffic. This model provides greater website safety. Additionally, this provides effective protection for both unknown attacks and new attack types (zero-day attacks).

2.zyWAF’s Positive Security Model means that a request will be determined as an attack unless it is evaluated as being safe. Rather than trying to look for every possible attack, zyWAF identifies safe traffic. This model provides greater website safety. Additionally, this provides effective protection for both unknown attacks and new attack types (zero-day attacks).

3.zyWAF’s Positive Security Model means that a request will be determined as an attack unless it is evaluated as being safe. Rather than trying to look for every possible attack, zyWAF identifies safe traffic. This model provides greater website safety. Additionally, this provides effective protection for both unknown attacks and new attack types (zero-day attacks).

zyWAF – Technique Advantages:

  1. Supports both Linux and Windows based web servers
  2. Software based for flexible deployment and lower costs
  3. Management and monitoring may be done from computer or mobile device
  4. Quick Setup program provides for easy installation
  5. A single zyWAF can protect multiple web servers
  6. Machine Learning eliminates signature libraries so there is no need for manual updating
  7. Artificial Intelligence learns safe behaviors so new threat protection is immediate without having to wait for manual updates – this is “Zero-Day Protection”
  8. Machine Learning and Artificial Intelligence detect website updates automatically so there is no need for manual updating