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Unsupervised Learning for Anomaly Detection

56 words·1 min
Table of Contents

Definition
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AI systems discovering novel attack patterns.

Key Characteristics
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  • Clustering
  • Autoencoder
  • Dimensionality
  • Adaptive

Why It Matters
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Finds 40% more threats (Darktrace).

Common Use Cases
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  1. Network intrusion
  2. Manufacturing
  3. Financial

Examples
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  • Splunk UBA
  • IBM QRadar
  • Vectra

FAQs
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Q: False positives?
A: <5% through ensemble methods.

Q: Cloud support?
A: Native AWS/GCP/Azure integrations.