Artificial Intelligence (AI)

Security+ 🏆 • Security Operations 🛡️ Difficulty: free

Definition

Artificial Intelligence uses algorithms—often machine learning models—to perform tasks that normally require human judgment, such as recognizing patterns, classifying data, and making predictions. In security, AI helps detect threats, triage alerts, and automate responses—but also introduces new risks.

Examples

  • A SOC uses an ML model to spot unusual logins and automatically escalate high-risk cases for analyst review.
  • Email security applies NLP to classify phishing and business email compromise, lowering false negatives.

Discover 🔎

AI is a toolbox: from simple rules and statistical models to machine learning and large language models (LLMs). In cybersecurity, AI sifts large data streams (logs, netflow, emails) to surface anomalies and patterns faster than humans alone. Used wisely, it augments analysts and reduces noise; used carelessly, it can create blind spots, bias, and new attack surfaces.

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