In this episode of AI Ignited, host Elif Baser chats with UK-based computer science student Ahmet Alp to unpack a deceptively simple question with a thorny answer: Why can’t AI detect all malware—yet, or maybe ever?From false positives and base-rate traps to adversarial machine learning, polymorphic code, and even the theoretical limits of computability, this episode maps the front lines of AI in defense. We break down static vs. dynamic analysis, concept drift, and why no single tool works without layered defenses, behavior analytics, and rapid response teams.Whether you’re a CS student, a security practitioner, or just curious about the limits of machine intelligence, this is your reality check on the promise—and the boundaries—of AI in cybersecurity.

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