Detecting and Stopping BOTS using Machine Learning

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View our Tech Talk: Platform Edition Detecting and Stopping BOTS/Fraud/Bad Actors using Machine Learning.

Do you have concerns about identifying “Good” bots  vs. “Bad” bots? Are bad bots causing issues within your applications, infrastructure or reputation? Join us for this Tech Talk to help you better identify BOTs, their origins and how to block bad bots based on IP reputation. 

Tune in to learn:

• What is a BOT?
• What does a BOT do?
• What is the role of Machine Learning in distinguishing between good actors and bad actors?

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Here is the Q&A from the live session. Enjoy!

Q: What data source is required for this app to properly detect anomalies?

A:  There is a sample data source supplied with the App off of Splunkbase. You can use it as an example for what you would supply from your own environment.

Q: When is the app approved for running in Splunk Cloud? We have MLTK version 5.2 installed there now.

A: That is determined by cloud operations. 

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Here are additional resources to continue on your journey.

Follow up Materials

•   Botnet App for Splunk 
•   Splunk Machine Learning Toolkit 
•   Botnet App for Splunk Blog Article
•   Artificial Intelligence & Machine Learning Website
•   Splunk User Conference presentations on bot ML 
• Community.splunk.com: Machine Learning 
• Splunk hosted webinars:

• Getting More from your Data with Machine Learning.
• Now Streaming Splunk Machine Learning
• Tech Talk: Anomaly Detection with Splunk Machine Learning
• Tech Talk: Experiment with Splunk Machine Learning