The AI Learning Hub Journal
◆ Free course · 4 modules · 25 lessons

AI for Cybersecurity

Defending with AI, and defending the AI you deploy — for security teams on both sides of the shift

Read it in the library →
Module 1 · 9 lessons

AI in the Security Stack

Where AI actually lives in modern security tools — separating real capability from marketing.

  1. From SOAR to Agentic SOC
  2. The SOC AI Architecture
  3. SIEM and XDR
  4. EDR and Behavioral Analysis
  5. Email and Identity Security
  6. SOC Copilots and Autonomous Triage
  7. Threat Intelligence and Hunting
  8. AI Data Governance: What Every CISO Needs to Hear
  9. Three AI Misconceptions That Cost Security Teams
Module 2 · 5 lessons

The Adversarial Side

AI as offensive weapon and AI systems as targets — both reframe the defense conversation.

  1. AI-Powered Attacks
  2. Prompt Injection: The Dominant Threat
  3. Agent-Specific Attack Surface
  4. The Frameworks: OWASP, ATLAS, SAIF
  5. How Defense Reframes
Module 3 · 5 lessons

Bringing AI into Your SOC

The operational work of adoption — first use cases, pilots that can fail, metrics that resist gaming, and autonomy earned one action type at a time.

  1. Picking the First Use Case
  2. A Pilot That Proves Something
  3. Metrics That Survive Contact
  4. The Analyst Role Shifts
  5. Oversight That Scales With Trust
Module 4 · 6 lessons

Evaluating AI Security Products

How security teams buy well: due-diligence questions, skeptical demo-reading, vendor pushback, honest business cases, and everyday prompting.

  1. The Questions That Cut Through
  2. Reading a Demo Skeptically
  3. Pushback Your Vendor Should Survive
  4. The Business Case, Honestly
  5. Knowing Your Own Situation
  6. Prompting for Security Work

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