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ML in Security: What’s the Difference Between Classification & Clustering?

I keep hearing about machine learning in cybersecurity, specifically "classification" and "clustering." In simple terms, what do these techniques actually do to help find threats in all our data?

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By Kushi Gupta Answered 2 months ago

They're the backbone of modern threat hunting! Think of it this way: Classification is like a spam filter. You teach an AI what "bad" looks like (e.g., malware signatures), and it labels new files as good or bad. Clustering is more like detective work. The AI finds groups of similar, unlabeled events in your logs. It might cluster a bunch of login attempts from unusual countries at 3 AM—a pattern humans would miss—flagging it as a potential compromised account. Classification identifies known threats; clustering discovers new, suspicious patterns.

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