I’m excited to announce that my new course, Privacy by Design in AI Agents, is now live here on Skool! AI is transforming the way we work — especially in industries like tech and events — but with that power comes responsibility. Too often, privacy is treated as an afterthought. This course flips that mindset, showing you how to embed privacy into every step of AI system design. 🔑 What you’ll learn: - Why traditional data safeguards aren’t enough for AI agents - How to use MFA as your first line of defense - Why we never train AI models on user conversations — and what we do instead - The importance of strict deletion & retention controls - How randomization & isolation keep conversations private - Real-world case studies from healthcare and events - Actionable steps to turn privacy into a competitive advantage 👥 Who is this course for: - Event professionals who manage attendee or sponsor data and want to keep it secure - Tech staff who work with AI systems and need practical, privacy-first strategies - Executives who want to understand AI privacy as both a compliance need and a business differentiator - Compliance and operations teams who need frameworks to align with GDPR, CCPA, HIPAA, and upcoming AI regulations 📘 Additional value: - All content has been vetted by professionals in tech and events - Full list of sources included in the course notes for deeper exploration - Practical takeaways you can apply immediately in your workflows Whether you’re handling attendee information, sponsor contracts, or sensitive client data, this course gives you the tools to stay compliant, build trust, and win business by embedding privacy into your AI systems. Privacy isn’t just compliance — it’s the foundation of trust. And in the AI era, trust is your most valuable currency.