AUTHOR

Articles by Craig Chamberlain

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Detecting unusual network activity with Elastic Security and machine learning

In Elastic Security 7.13, we added a new set of machine learning jobs that spot anomalies in network behavior. In this blog post, we’ll explore a case study demonstrating how network data can yield important detections.

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ProblemChild: Generate alerts to detect living-off-the-land attacks

In this blog post, we walk through our release of a fully trained detection model, anomaly detection configurations, and detection rules that you can use to get your ProblemChild framework up and running in your environment in minutes.

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ProblemChild: Detecting living-off-the-land attacks using the Elastic Stack

In this blog, learn how you can use Elastic machine learning to create your own ProblemChild framework to detect living-off-the-land (LOtL) activity in Windows process event data.

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Detecting threats in AWS Cloudtrail logs using machine learning

This post takes an in-depth look at detection techniques through cloud API logs analysis — exploring two real-world incidents in order to better understand how threats can slip through conventional detection methods.

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Combining supervised and unsupervised machine learning for DGA detection

In this blog, we announce our first-ever supervised ML and security integration. This offers users a supervised ML solution package to detect domain generation algorithm (DGA) activity in your network data.

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Generating MITRE ATT&CK® signals in Elastic SIEM: Sysmon data

In this post, we outline a straightforward approach to detecting threats with Elastic SIEM that doesn't require any specific programming, or analytical knowledge — it's perfect for helping just about any security practitioner stay ahead of attacks.