AI Hacking
AI Security Resources

AI Security Learning Center

Structured learning paths, certifications, and community resources to build your AI security expertise — whether you are a red teamer, developer, analyst, or compliance professional.

Skill Levels

Beginner

Just getting started with AI security? Begin here.

Est. Time: 2-3 weeks

Intermediate

Ready to dive deeper into techniques and tools.

Est. Time: 1-2 months

Advanced

Master-level techniques for experienced practitioners.

Est. Time: 3+ months

Career Learning Paths

Red Teamer

Focus: Offensive AI security testing, vulnerability discovery, and exploitation.

  • Prompt injection mastery
  • RAG and MCP exploitation
  • Tool development (Garak, PyRIT)
  • Report writing and PoC creation

Key Pages: Red Teaming, Tools, Incidents

AI Developer

Focus: Building secure AI applications with defensive patterns.

  • Secure coding patterns
  • Input/output validation
  • API security design
  • CI/CD security integration

Key Pages: Secure Dev, API Security, Development

Security Analyst

Focus: Threat assessment, monitoring, and risk analysis for AI systems.

  • Threat modeling for AI
  • Vulnerability assessment
  • Log analysis and anomaly detection
  • Risk scoring and reporting

Key Pages: Threats, Methodology, Statistics

Compliance Officer

Focus: Regulatory compliance, audit, and governance for AI deployments.

  • EU AI Act requirements
  • NIST AI RMF implementation
  • Audit checklists
  • Documentation and evidence

Key Pages: Standards, Checklists, Resources

Certifications

AI security certifications and training programs to advance your career.

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Glossary

100+ essential terms for AI security professionals.

Browse Terms →

Resources

Additional resources, tools, and references.

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