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Home Ethereum

Enterprise Ethereum Finally Has a Privacy Playbook – Enterprise Ethereum Alliance

13/05/2026
in Ethereum
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The Enterprise Ethereum Alliance has printed the primary version of its Privateness Working Group report: State of Privateness on Ethereum for Enterprise.

That is the results of three months of cross-institutional collaboration between seven EEA member organizations, and it represents a milestone for enterprise blockchain adoption.

The Downside We Set Out to Remedy

Ask any CIO at a financial institution, insurance coverage agency, or company treasury what retains them from placing actual property on a public blockchain, and the reply is sort of at all times the identical: privateness.

Ethereum’s transparency — the property that makes it reliable — can be what makes it incompatible with enterprise confidentiality necessities. Transaction quantities are public. Counterparty identities are traceable. Sensible contract logic could be reverse-engineered by opponents. None of that’s acceptable for establishments working underneath MiCA, GDPR, or fundamental aggressive confidentiality necessities.

The know-how to unravel this exists. However till now, there was no unified, impartial view of what’s obtainable, the way it works, and the way to decide on.

What the Report Accommodates

The report profiles seven options from EEA member organizations, every assessed in opposition to a standardized framework of eight enterprise necessities: transaction privateness, stability privateness, good contract privateness, regulatory compliance, selective disclosure, mainnet settlement, know-how stack, and belief mannequin.

The taking part organizations and their options are:

Utilized Blockchain: Silent Knowledge — a TEE-based resolution for off-chain knowledge verification with on-chain attestation, presently in manufacturing.

Consensys: Linea Enterprise — an enterprise ZK+TEE hybrid on an Ethereum L2, with lively enterprise pilot applications.

COTI: Garbled Circuits method to safe computation over encrypted inputs with out exposing knowledge to any occasion, presently in manufacturing with enterprises and builders.

EY: Dusk — a public-domain ZK-ZK rollup for confidential token transfers, with lively integration pilots.

Kaleido: Paladin — a Modular Privateness framework for EVM-based purposes, enabling programmable and privacy-preserving workflows throughout enterprise environments.

Polygon: Polygon CDK Enterprise — a customizable enterprise chain framework with ZK-based privateness, actively in improvement.

ZKsync / Matter Labs: Prividium — an enterprise privateness layer on ZKsync utilizing Zero-Information Proofs, in pilot.

The Framework: Three Belief Fashions

One of many report’s most actionable contributions is its belief mannequin taxonomy. Earlier than selecting a privateness resolution, an establishment should perceive what it’s finally trusting:

Cryptographic belief (ZK, GC, MPC): The mathematics is publicly verifiable. No have to belief any operator. {Hardware}-anchored belief (TEE): Belief is positioned in safe processor enclaves and distant attestation from {hardware} producers. Organizational belief (FHE co-processors): A majority of co-processor operators should behave truthfully.

Every mannequin has completely different threat profiles, regulatory implications, and implementation complexity. The report supplies steerage for navigating this choice.

What Comes Subsequent

That is Model 1 of a recurring report collection. Future editions will incorporate impartial benchmarking, profiles of latest entrants, and deployment post-mortems from stay enterprise use circumstances. The EEA Privateness Working Group will proceed to function the impartial coordination level for enterprise privateness on Ethereum.

Organizations interested by contributing their options to future editions or becoming a member of the working group are inspired to contact the staff at [email protected].

Learn the Report

It’s designed for CIOs, compliance officers, and digital asset leads who want to judge choices and ask the fitting questions. Single self-contained file, no login required.



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