Name it, and it’s connected! Meet the modern enterprise: from the serves in the datacenter or cloud, to the laptop of the CEO, to the smartphone of new hire, to the Air Conditioning, to the assembly line, to the MRI machine or to the system irrigating the plants, everything is connected!
The common denominator of all devices in the enterprise environment is the network traffic, making network-centric security the most effective approach in defending modern heterogeneous enterprise environments. We will explore how applying machine learning to network traffic enables network traffic security analytics solutions to improve detection of advanced threats that might target the entire range of network-connected devices.
What you will take-away from this session:
• Why network centric security is the most effective approach in defending modern heterogeneous enterprise environment
• Content analysis vs network flow analysis
• Semi-supervised learning vs supervised and unsupervised machine learning
• Specialized machine learning algorithms to improve detection of advanced threats
