Thursday, October 17, 2019 at 1:00:00 PM Live Webinar Live Webinar, Mountain View, ca



Please follow this link to reserve your seat:


It is well-known that the Internet is the going to be the next battleground for everything to come. From misunderstandings, minor skirmishes, to fully-enabled state actors attacking governments.

They are all positioned well to take advantage of:
1. The Cloak of the Internet
2. Remote attack locations
3. Asymmetry in impact
4. And an immense dependency of companies, people, governments, and every organization to be present on the internet.

With this much at stake, the amount of resources that are poured into maintaining a secure network is remarkably low, and the job done by the people is nothing short of amazing. Unfortunately, this is limited in scale. And therefore, you need automated models. Automated-Machine-Learnt models do a tremendously quick and accurate job of detecting malicious behavior must faster, thereby averting any security violations.

In this example, we will take datasets that should be vulnerable to potential attacks, and show how Driverless AI and the feature engineering capability can solve this problem.


Ashrith Barthur, Chief Security Scientist,

Click here for event

0 Response to "October 17: Kansas City Artificial Intelligence and Deep Learning - Webinar: Using H2O Driverless AI for Cybersecurity"

Post a Comment

Group Tools

Random Prize Winner
Use this tool to generate random numbers for prize drawings.

Follow this twitter list of the twitter accounts for the user groups. Ask for your group to be added to this list: twitter list
Subscribe to the Kansas City User Group Newspaper at

Blog Archive