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AI, ML, deep learning — same thing? not quite
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AI, ML, deep learning — same thing? not quite

·419 words·2 mins·
MindSecSet AIFundamentals
Author
Virtue of Vague
Table of Contents
AI Series · post 1 of 12 series index →

AI, ML, deep learning — same thing? not quite
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three terms. endless confusion. let’s fix that.

every vendor, every job posting, every threat intel report throws these around interchangeably. AI-powered detection. machine learning model. deep learning engine. sounds impressive. means nothing if you can’t tell them apart.

so let’s untangle this once and for all.

AI — the big umbrella
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artificial intelligence is the broad goal — building systems that can do things that normally require human intelligence. reasoning, decision making, pattern recognition.

think of it as the category. everything else sits inside it.

in security terms — any system that detects threats, classifies behaviour, or makes decisions automatically is broadly “AI.”

ML — how AI actually learns
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machine learning is how we get there. instead of writing explicit rules, we feed the system data and let it figure out the patterns itself.

three ways it learns:

  • supervised — learn from labelled examples. malware vs benign samples. spam vs not spam.
  • unsupervised — find patterns without labels. threat hunting, anomaly detection.
  • reinforcement — learn through trial and error. reward good decisions, penalise bad ones.

your SIEM, your EDR, your phishing filter — ML is doing the heavy lifting inside all of them.

deep learning — ML with more layers
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deep learning is a subset of ML that uses neural networks with many layers. it’s why image recognition works. it’s why LLMs exist. it’s why AI got dramatically better in the last decade.

more layers = ability to learn more complex patterns. also needs way more data and compute.

the simple picture
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AI contains ML. ML contains deep learning. like concentric circles — each one more specific than the last.

three terms. one relationship.ARTIFICIAL INTELLIGENCEany system mimicking human reasoningMACHINE LEARNINGlearns from data, not explicit rulesDEEP LEARNINGneural networksmany layersAI contains ML. ML contains deep learning.

next time a vendor says “AI-powered” — ask which layer. that question alone puts you ahead of most people in the room.

next up — how machines actually learn from examples. and why it’s not that different from how you trained your first junior analyst.

what’s the most overused AI term you’ve heard in a vendor pitch? curious.

took ai help to clean up typos. my brain works faster than my fingers. xd

next up: AI Series #2 — “teaching machines with examples — like training a junior analyst” back to series index