34 - From Threat Hunter to Red Teamer and How AI Changed Both
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34 - From Threat Hunter to Red Teamer and How AI Changed Both
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Threat hunting is one of cybersecurity's most talked‑about, and misunderstood, disciplines. In this episode, Cole French and guest Ben Lieberman breaks down what threat hunting really looks like inside complex, high‑volume environments and why fundamentals matter more than flashy techniques. We dig into how telemetry is collected, how attackers blend into normal activity, and why red and blue teams often view threats differently.
At its core, threat hunting is about mindset: understanding attacker behavior, knowing what "normal" looks like, and cutting through massive data to spot what truly matters.
You'll learn:
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Why attackers often rely on simple, well‑known techniques
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The challenges of working with massive telemetry and alert volume
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How tools like Splunk and Security Onion help find real signals
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Why red teams sometimes test the wrong things
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The importance of baselining and building detections around real behavior