Privacy-Proof Your
Open-Source AI Model
in 5 Days

(Even If You’ve Read The Latest Research Papers
and Use “Secure” Frameworks)

A FREE, 5-day email course breaking down everything you need to prevent data leaks, avoid legal risks, and earn trust from serious users and partners

Ready to finally
privacy-proof your
open-source AI model?

Here's a sneak peek of everything you're going to learn inside this email course:

Mistake #1. Assuming “open source” means “exempt from compliance”—and why you’ll unknowingly expose yourself (and contributors) to serious legal risk.Mistake #2. Training on poorly anonymized or publicly scraped data—and why privacy watchdogs (or Reddit) will call you out publicly.Mistake #3. Skipping threat modeling for inference-time privacy leaks (and why your model may cripple trust in and adoption of production use cases).Mistake #4. Relying on libraries without verifying their privacy claims (and why this lack of verification leads to unpatched vulnerabilities).Mistake #5. Treating privacy as a one-time setup instead of a continuous practice (and why your “privacy-safe” project could implode overnight).

Hooray! The first lesson of The AI Developer’s Blueprint to Becoming Privacy-Proof is on its way to your inbox.

Within the next minute or two, you're going to get an email from me (Redd).This email contains instructions to get started with The AI Developer’s Blueprint to Becoming Privacy-Proof, so be sure to check it out!But if you have any questions, don't hesitate to hit reply and let me know—I'll be happy to help! :-)Now go and check your inbox!

P.S. If you don't find the email in your inbox in the next couple of minutes, please check your spam folder.Chances are it ended up there.(Sometimes the "email algorithms" think I'm a robot! 🤷🏻)