I’ve been looking into how DuskEVM approaches privacy, and one thing really stands out: privacy isn’t simply about hiding data. 🔐
Through Hedger, Dusk combines confidential computation with homomorphic encryption and zero-knowledge proofs, aiming to keep sensitive values private while still allowing computation to be verified.
That could be especially interesting for regulated finance, where confidentiality and verifiability both matter.
The bigger question is adoption: will developers actually build real financial applications around these privacy primitives, or will they remain experimental features?
That’s what I’ll be watching repeated usage and real applications, not just deployment numbers.
@Dusk_Foundation $DUSK #dusk
Through Hedger, Dusk combines confidential computation with homomorphic encryption and zero-knowledge proofs, aiming to keep sensitive values private while still allowing computation to be verified.
That could be especially interesting for regulated finance, where confidentiality and verifiability both matter.
The bigger question is adoption: will developers actually build real financial applications around these privacy primitives, or will they remain experimental features?
That’s what I’ll be watching repeated usage and real applications, not just deployment numbers.
@Dusk_Foundation $DUSK #dusk