S4 Ep3: [LIVE] Know Thy Environment: Building Context for Effective Threat Hunting episode artwork

EPISODE · May 29, 2026 · 1H 30M

S4 Ep3: [LIVE] Know Thy Environment: Building Context for Effective Threat Hunting

from Out of the Woods: The Threat Hunting Podcast · host Out of the Woods: The Threat Hunting Podcast

Understanding your environment is one of the most overlooked parts of threat hunting, and one of the most important. This live episode focuses on how to profile your environment, work through both existing and newly onboarded datasets, and build a clear picture of what normal actually looks like across your telemetry.The conversation centers on practical approaches. How to think about your data. How to ask better questions. How to work through common challenges like incomplete visibility, noisy datasets, and inconsistent logging across tools. The session will include real examples, lessons learned, and the methods used to turn raw data into meaningful hunting insight.This episode is built for practitioners who want to move beyond reactive detection and make decisions grounded in a deep understanding of their own systems, data, and gaps.What We’ll Cover: How to profile your environment and baseline normal activity across datasets Approaches for working with new and unfamiliar telemetry sources Techniques for handling noisy data and inconsistent logging Ways to identify and account for visibility gaps Practical examples from real-world threat hunting workflows Watch the episode here: https://youtu.be/Uv46waZVAC0

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S4 Ep3: [LIVE] Know Thy Environment: Building Context for Effective Threat Hunting

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How long is this episode of Out of the Woods: The Threat Hunting Podcast?

This episode is 1 hour and 30 minutes long.

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This episode was published on May 29, 2026.

What is this episode about?

Understanding your environment is one of the most overlooked parts of threat hunting, and one of the most important. This live episode focuses on how to profile your environment, work through both existing and newly onboarded datasets, and build a...

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