Discusses the effective use of data science within a UEBA system.
Discover how data science, including machine learning (ML) and artificial intelligence (AI) enhances user and entity behavior analytics (UEBA) to effectively mitigate cyberthreats.
In this white paper, gain insights into applying ML within UEBA using real-world examples from Exabeam products. Learn how analytics, ML, and security research combine to create a powerful cybersecurity solution
By reading this paper, you’ll learn:
- The role of data analytics in UEBA and its importance in cybersecurity
- Strategies for building advanced analytics and statistical modeling techniques for anomaly detection
- How to effectively apply ML in UEBA, including its role in threat detection, investigation, and response (TDIR)
- The use of ML for peer context derivation and reducing false positives in UEBA
- Utilizing ML to monitor event flow changes and bolster cybersecurity, using Google’s BigQuery for precise calculations as part of the Exabeam and Google Cloud Platform (GCP) partnership
Get the knowledge you need to stay ahead of cyberthreats. Download your copy today!
