
Episode 5Premium
Security, Privacy, and Compliance—Without the Paranoia
6:46AI
AI security and privacy: a practical AI compliance checklist guide for non-experts Six-question AI security best practices to evaluate AI tools without paranoia or overwhelm Walk away with a simple AI risk management guide to protect data privacy in AI tools while keeping innovation moving
What You'll Learn:
- Use a six-question AI compliance checklist to quickly assess any AI tool’s security, privacy, and compliance posture
- Spot the two biggest and most expensive risks with AI tools: data leakage and non-compliant data processing
- Evaluate how an AI tool collects, stores, encrypts, and deletes your data—without needing deep technical expertise
- Ask the right questions about model training policies so your sensitive data doesn’t silently become part of someone else’s AI
- Check for essential certifications, vendor governance, and third-party practices that actually matter (and ignore the fluff)
- Assess incident response readiness so you know what happens if there’s a breach, misuse, or policy violation
- Apply the checklist to your own workflows by identifying one immediate use case and choosing a tiny, realistic first step this week
- Turn your written notes into a personal, repeatable AI security playbook you can reuse and improve over time
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