Privacy technology is having a moment. ZK proofs matured, MPC got practical, FHE became less impossibly slow. The convergence enables things we couldn't build before.
ZK tooling reached developer accessibility. You don't need a cryptography PhD anymore. Write circuits in high-level languages, compile to proofs. The abstraction layers worked.
MPC for key management became standard for serious applications. No single point of failure for private keys. Distributed computation that's actually reliable. The operational complexity is manageable now.
FHE still has overhead but found its niches. Computations where privacy justifies the cost. Sensitive data processing, private voting, confidential transactions. Not everything, but something.
The combination is powerful. ZK for verification, MPC for key management, FHE for computation on encrypted data. Different tools for different problems, composing together.
Compliance compatible privacy is the breakthrough insight. You can be private from the public while transparent to regulators. Selective disclosure built into the protocol. That unlocks institutional adoption.
The regulatory headwinds around privacy tools are real but navigable. Build with compliance in mind from day one. Privacy as a feature not a weapon.
Keep reading
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- Homomorphic AI Is Real
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- Blind Signatures and the Future of Private Payments
Blind signatures open up a different flavor of privacy for payment networks. Their role in anonymous transfers and protocol design is worth examining.