Predictive Analytics and Machine Learning - Real Use Cases for IT Security Professional

Explore real-world applications of predictive analytics and machine learning in IT security through this conference talk from CypherCon 2.0. Delve into the Grand Theory of Hacking, gain insights into data mining fundamentals, and examine practical use cases. Learn how to effectively understand and clean data, utilize tools like RapidMiner, and implement modeling techniques such as KMeans and K-nearest Neighbor. Discover the importance of predictors, accuracy, and deployment in the context of IT security. Enhance your understanding of how these advanced technologies can be leveraged to improve cybersecurity practices and strategies.

Intro
Grand Theory of Hacking
Disclaimer
Background
Predictive Analytics
Data Mining 101
Examples of Use Cases
Understand the Purpose
Understand Your Data
Clean Up Your Data
RapidMiner
Modeling
KMeans
Knearest Neighbor
Predictors
Accuracy
Deployment
Wrap Up