
Is AI Creating New Privacy Challenges E161
From The FIT4Privacy Podcast | Exploring ISO Standards AI Privacy | Grow Skills Store by Punit Bhatia | Data Privacy, Sourcing & EU AI Act Specialist | ISO Standards
March 19, 2026 · 6 min · Season 7 · Episode 161
About this episode
The episode discusses the privacy challenges posed by AI in cryptocurrency and explores potential solutions for maintaining user confidentiality while ensuring compliance.
In this episode of the FIT4Privacy Podcast, privacy expert Punit Bhatia sits down with Michal “Mehow” Pospieszalski, founder of American Fortress and co-inventor of MatterFi. Key Moments 00:00 The Privacy Problem in Crypto 01:54 Why Sender Identity Is So Hard 06:19 AI Agents and Transaction Risks 09:55 Stealth Addresses Explained 15:33 Privacy vs Compliance 20:32 American Fortress Solution 24:11 A PayPal-Like Experience for Crypto 28:18 Closing Thoughts Can cryptocurrency ever be truly private while still complying with regulations? Most privacy tools in crypto actually create more problems. Mixers co-mingle funds, identity is unclear, and verifying who you are transacting with becomes nearly impossible. Explore how stealth addresses, human-readable names, and decentralized identity models could allow people to send money securely while still meeting compliance requirements like KYC and anti-money laundering regulations. As AI agents and automated transactions begin to scale globally, the challenge of privacy vs transparency is becoming one of the most important questions in the future of digital finance. This conversation explores whether a system can exist that protects user…
People in this episode
Host: Punit Bhatia
Guest: Michal “Mehow” Pospieszalski
Topics covered
- AI privacy
- cryptocurrency
- compliance
- digital finance
- transaction risks
Keywords
- AI
- privacy
- cryptocurrency
- compliance
- KYC
- anti-money laundering
- transaction risks
Mentioned in this episode
Organizations: American Fortress, MatterFi
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