717: Overcoming Adversaries with A.I. for Cybersecurity, with Dr. Dan Shiebler
Super Data Science: ML & AI Podcast with Jon Krohn
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Insights into AI for Cybersecurity and its Limitations
The chapter explores the utilization of heuristic intermediate ML models and large language models in abnormal security for identifying cybersecurity threats in messages, emphasizing the significance of minimizing false negatives and the build-up of false positives. It also touches upon efficient model updates with Redis key value stores, the application of category theory in practical scenarios, and the challenges AI faces in addressing human-centric issues such as urban planning and politics.
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