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Curriculum/Cybersecurity/AI Application: Cybersecurity/AI in Cybersecurity: The Landscape
30 minBeginner

AI in Cybersecurity: The Landscape

After this lesson, you will be able to: Understand how AI is reshaping both offense and defense in cybersecurity.

AI is the biggest shift in cybersecurity since the cloud. Defenders use it to find anomalies traditional rules miss. Attackers use it to scale phishing and generate exploits. This lesson maps both sides.

AI in defense

Behavioral anomaly detection (UEBA, network ML). Phishing classification. Code vulnerability detection. SOC analyst augmentation (Microsoft Security Copilot, CrowdStrike Charlotte). Triage acceleration.

💡 AI in offense

LLM-generated phishing emails (no more typos giving them away). WormGPT, FraudGPT, uncensored LLMs sold on dark web. AI-generated voice/video for social engineering (deepfakes). Faster exploit generation from CVE descriptions.

What changes for defenders

  1. 1

    1. Phishing detection must improve, humans can't tell anymore.

  2. 2

    2. Authentication must move beyond voice/video (deepfake risk).

  3. 3

    3. SOC pipelines must integrate LLM triage (volume increasing).

  4. 4

    4. AI systems themselves become attack surface.

  5. 5

    5. Skills shift, prompt engineering, model evaluation join the toolkit.

Hype check

AI is genuinely powerful AND massively over-marketed. Vendor claims of '99% detection' are usually trained on test data. Validate with your own evaluation.

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