Course track

Secure Use of AI Tools

Shadow AI, what not to paste into a chatbot, AI agents and automation risk, prompt injection, hallucinations, bias, and the daily checklist for safe AI use at work.

Who takes this: All staff using AI tools at work

ISONDPANISTSOC2FTCHIPAA
Module Length What staff learn Maps to
Shadow AI: The Tools Nobody Approved 5 min Check whether an AI tool is approved before using it for work tasks. ISO
What Not to Paste: A Practical Test for AI Chatbots 4 min Apply a two-part test before pasting content into an AI chatbot. NDPA, ISO
AI Agents and Automation: New Risks 4 min Get IT approval before connecting an AI agent to company email, files, or systems. ISO, NIST
How AI Tools Actually Work: What You Need to Know 5 min Explain in plain terms how AI language tools process input and why that matters for how you use them at work. ISO, NIST
Prompt Injection: When AI Gets Hijacked 5 min Recognize prompt injection attacks and explain why they are a real threat when AI tools interact with outside content. NIST, ISO, SOC2
AI Output Is Not Always Right: Spotting Hallucinations 5 min Identify AI hallucinations and apply a simple verification habit before acting on AI-generated information at work. ISO, NIST
Bias in AI: Why the Output Is Not Always Fair 5 min Explain how AI bias can affect workplace decisions and apply a practical check before using AI output to evaluate people or groups. NDPA, ISO, FTC
AI and Data Privacy: Keeping Personal Information Safe 5 min Apply the right test before entering any personal data into an AI tool, and identify which data types require the strictest protection. NDPA, HIPAA, ISO
Intellectual Property and AI: Who Owns What You Create 5 min Identify the intellectual property risks of using AI-generated content at work and apply a simple check before publishing or submitting AI-assisted work. ISO, SOC2
Building Good AI Habits: Your Daily Checklist 5 min Apply a repeatable personal checklist for safe, responsible AI use in everyday work tasks. ISO, NIST, SOC2

Compliance codes show which frameworks each module supports. Some clauses are marked "verify" in our source review, meaning we phrase the claim cautiously rather than cite an exact, unconfirmed section number. See the glossary for term definitions.

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