ISOCLB-NetNite:Using Machine Learning in Network Based Cyber Threat Detection
ISOCLB-NetNite:Using Machine Learning in Network Based Cyber Threat Detection
Are you a network engineer looking for effective ways to detect security breaches?
Or are you a student interested in learning more about network security?
Whether you usually deal with security breaches or have a team who handles cyber security. We invite you to attend our latest #NetNite session titled “Using Machine Learning in Network Based Cyber Threat Detection”.
Workshop Content
Throughout the session we will explore:
- A brief about cyber threats and some examples
- How Machine learning can help in cyber threat detection
- Key elements for a successful cyber threat detection implementation
Date: Wednesday September 25, 2019
Time: 6:00 PM
Trainer: Rabih Itani
Free
Limited Seats: 25
Venue: BDD 1280
About the Trainer
Rabih is a solution architect backed by 27 years of experience built around different verticals. He was one of the pioneers of mobility defined systems. He designed and deployed the region’s first enterprise grade Wi-Fi network, Offload to Wi-Fi, and Next Generation Hotspot services. Rabih is also known for his early adoption of effective Cybersecurity architectures covering network perimeter, network edge, network-based behavior analytics, end point protection, patch management, and more. He is currently heading the security business for Aruba across Middle East and Turkey.
#ISOCLB #ISOCLebanon #NetNite #Workshop #CyberSecurity #MachineLearning
