FAQs
Last updated
Last updated
Have some questions about Persona Protocol?
Hopefully, you'll find the answers here! If not then please don't hesitate to reach out to us on - there are no stupid questions!
Most protocols focus on storage (where data lives). We focus on computation (how data is used).
Example: While others let you “store” your medical records, Persona lets hospitals train AI models on encrypted patient data without ever decrypting it.
Tech Edge: We combine TEEs (hardware security), FHE (encrypted computation), and ZK proofs (selective disclosure) into one stack—others use just one
Your data stays encrypted during processing. Think of it like this:
Old Way: Give Netflix your watch history → They store it → Recommend shows.
Persona Way: Netflix sends an AI model to your vault → It analyzes encrypted viewing habits → Returns recommendations without Netflix ever seeing your data. Powered by Fully Homomorphic Encryption (FHE), tested by JPMorgan for fraud detection.
Three seismic shifts:
AI Crisis: GPT-5 is hitting accuracy walls due to lack of private data.
Regulatory Teeth: GDPR fines hit $3B+; eIDAS 2.0 mandates EU digital IDs by 2025.
Tech Readiness: FHE libraries (IBM) and TEEs (Intel SGX) are now production-grade. Previous protocols were like electric cars without batteries—we have the infrastructure now.
Yes, but not by “selling” it. You license privacy-preserving insights:
Scenario 1: Earn $5/month letting brands target “dog owners in NYC” via ZK proofs (no address leaks).
Scenario 2: Get paid in crypto for contributing encrypted fitness data to medical studies. No raw data changes hands—only value derived from it.
For Users: Prove you’re “over 18 + resident of Germany” via ZK proofs from your passport scan. The app learns only “yes/no.”
For Banks: Comply with regulations using proofs instead of storing copies of IDs. Piloted with a European neobank to cut KYC costs by 40%.
TEEs (Trusted Execution Environments): Data is processed in hardware-sealed black boxes (used by Microsoft Azure)
MPC (Multi-Party Computation): Your data is split into encrypted shards; no single breach reveals anything.
Zero-Trust Design: Even Persona’s team can’t access your vault.
Example: A travel startup can personalize trips using your encrypted Uber/Lyft history. No need to mine data like Google—just query the privacy-safe insights
Cost: Integration takes <1 week via our APIs, vs. years to build data pipelines.