The more I look at Zedger, the more I think its interesting part isn’t just privacy.
Securities ownership is much more complicated than hiding a balance.
A holding can be transferable, voting-eligible, dividend-eligible, restricted, or subject to certain approval rules. So for financial markets, the hard problem is not simply hiding who owns what. It’s proving that an ownership change is actually valid without exposing everything publicly.
That’s where Zedger’s Sparse Merkle-Segment Trie, or SMST, stands out to me.
SMST combines a Sparse Merkle Tree with a Segment Tree to commit account state while keeping different balance categories inside the structure. In theory, this lets the network distinguish things like transferable, voting, maximum, and dividend-related balances without turning every ownership detail into public data.
I think that’s a more interesting privacy model for securities.
Traditional blockchains often make transparency the default. But institutions may need verification without revealing trading positions, payment flows, or shareholder information to everyone.
Dusk is approaching this problem from a similar direction with its privacy-focused Layer-1 and Confidential Security Contract standard, aiming to let financial applications verify state while keeping sensitive information protected.
Still, I’m cautious.
More state fields and more proof rules also mean more engineering and verification complexity. The architecture can look elegant on paper and still be difficult to implement securely at scale.
So the real test isn’t whether Zedger can hide balances.
It’s whether a cryptographic account model can represent the messy reality of securities ownership while staying practical, auditable, and decentralized.
That’s the part I’m watching.
Could compliant privacy become a bigger advantage than pure anonymity for financial blockchains?
#dusk $DUSK @Dusk
Securities ownership is much more complicated than hiding a balance.
A holding can be transferable, voting-eligible, dividend-eligible, restricted, or subject to certain approval rules. So for financial markets, the hard problem is not simply hiding who owns what. It’s proving that an ownership change is actually valid without exposing everything publicly.
That’s where Zedger’s Sparse Merkle-Segment Trie, or SMST, stands out to me.
SMST combines a Sparse Merkle Tree with a Segment Tree to commit account state while keeping different balance categories inside the structure. In theory, this lets the network distinguish things like transferable, voting, maximum, and dividend-related balances without turning every ownership detail into public data.
I think that’s a more interesting privacy model for securities.
Traditional blockchains often make transparency the default. But institutions may need verification without revealing trading positions, payment flows, or shareholder information to everyone.
Dusk is approaching this problem from a similar direction with its privacy-focused Layer-1 and Confidential Security Contract standard, aiming to let financial applications verify state while keeping sensitive information protected.
Still, I’m cautious.
More state fields and more proof rules also mean more engineering and verification complexity. The architecture can look elegant on paper and still be difficult to implement securely at scale.
So the real test isn’t whether Zedger can hide balances.
It’s whether a cryptographic account model can represent the messy reality of securities ownership while staying practical, auditable, and decentralized.
That’s the part I’m watching.
Could compliant privacy become a bigger advantage than pure anonymity for financial blockchains?
#dusk $DUSK @Dusk