AI in cybersecurity gets hyped every day, but not all “AI” is built for threat detection. In this Cyber Insurance News & Information Podcast clip, Graylog CMO Kimber Spradlin joins host Martin Hinton to break down the real difference between LLMs and classic machine learning in security operations.Spradlin explains why LLMs make great user interfaces, but security teams still need mathematical, testable models to spot risky behavior at scale. She uses a simple example: repeated password failures from one user can either be sleepy typing… or the first signal of an attack. How you treat that signal depends on the math behind your detection.If you care about AI in cybersecurity, alert fatigue, and how security analysts really work with data, this conversation gives you a clear, non-hyped view from the front lines.Get the whole episode: https://open.spotify.com/episode/2OFmNWbYovHexPT5ynBjPO?si=629DjdtoTzWTs_TM5M4vFw

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