Machine Learning in Cybersecurity with Evan Wright - TWiML Talk #16
Published:Mar 24, 2017 18:16
•1 min read
•Practical AI
Analysis
This article summarizes a podcast interview with Evan Wright, a principal data scientist at Anomali, a cybersecurity startup. The discussion focuses on the application of machine learning (ML) in cybersecurity. The interview covers key areas where ML can address significant challenges, including identifying and mitigating threats. The conversation also delves into the difficulties of obtaining reliable data (ground truth) in cybersecurity and explores various algorithms like decision trees and generative adversarial networks (GANs) used in the field. The article highlights the practical application of ML in a real-world cybersecurity context.
Key Takeaways
- •The interview discusses the application of machine learning in cybersecurity.
- •It highlights the challenges of acquiring reliable data (ground truth) in the field.
- •Various algorithms like decision trees and GANs are explored for their use in cybersecurity.
Reference
“The interview covers, among other topics, the three big problems in cybersecurity that ML can help out with, the challenges of acquiring ground truth in cybersecurity and some ways to accomplish it, and the use of decision trees, generative adversarial networks, and other algorithms in the field.”