TRUST AI
In development · early access

Learn AI Security

A space to understand security for AI — from first principles to hands-on defense, for engineers, risk teams, and leaders.

Short, practical tracks that turn the abstract risks of AI systems into concrete threat models, worked examples, and defenses you can apply. Each lesson links back to the Secure Builder and Security Testing so you learn by doing, not just reading.

Foundations

  • How LLMs, RAG, and agents actually fail
  • The AI threat landscape and attacker goals
  • Mapping risk: OWASP LLM Top 10, NIST AI RMF, EU AI Act

Building secure systems

  • Prompt-injection defenses that hold up
  • Guardrails: deterministic vs. model-based
  • Designing human-in-the-loop and kill switches

Agent & RAG security

  • Tool-use and autonomy risk
  • Securing retrieval and untrusted content
  • Evaluation, red teaming, and monitoring

For every role

  • Engineer track: implementation and testing
  • Risk & compliance track: controls and evidence
  • Leadership track: governance and accountability

This service is being built. In the meantime, the AI Agent Secure Builder is live today.

Try the Secure Builder