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AI security fundamentals

A short, non-technical introduction for decision makers and newcomers: why an AI agent is an identity, what can go wrong, which three families of controls answer the risks, and what regulation expects. Prepares for the free Monofor Certified AI Security Associate exam.

MonosignFree 25 minBeginner DE · EN · ES · TR Partner Administrator Security analyst Architect

Version 1 · updated Nov 10, 2026

Course
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What you will learn

  • Explain why an AI agent is a non-human identity that needs an owner, a purpose and bounded access
  • Name the main AI risks and recognize them in everyday situations
  • Match each risk to a family of controls: limit, approve, inspect and record
  • Know which question each regulation and framework asks, and what product evidence can and cannot prove

Curriculum

4 modules · 10 lessons

Module 1: Why AI agents are an identity problem
Module 2: The risks
Module 3: The controls
Module 4: Regulation and next steps