Ethereum's Modular Compliance Proposal for GDPR Alignment and Enhanced Privacy

As the Ethereum ecosystem and its fundamental principles evolve to tackle data privacy issues, a recent proposal advocates for a modular compliance approach as a means to align public blockchains with the European Union’s General Data Protection Regulation (GDPR). On Monday, Ethereum community member Eugenio Reggianini introduced a proposal recommending a modular architecture for efficient data management and enhanced privacy. “By decentralizing personal data to the edges (wallets and DApps), utilizing offchain storage combined with metadata erasure, and cryptographically dividing roles, we can concentrate GDPR controller responsibilities on a limited set of entities, while the broader network acts merely as processors or falls outside the scope, ” explained Reggianini. Ethereum’s shift toward a modular architecture may facilitate the incorporation of multiple privacy-enhancing technologies (PETs) that, according to Reggianini, can ensure GDPR compliance within permissionless blockchain settings. Technical roadmap: employing PETs The proposal highlights various technologies already in use or proposed for Ethereum that help minimize exposure of personal data. Among them is proto-danksharding (EIP-4844), which restricts the lifespan of transaction blobs to about 18 days, thereby enforcing data storage minimization. Zero-Knowledge Succinct Non-Interactive Argument of Knowledge (zk-SNARKs) also bolster privacy by allowing validators to verify succinct cryptographic proofs instead of directly accessing transaction details, significantly reducing onchain data visibility. Additional PETs that could aid GDPR adherence include Fully Homomorphic Encryption, Trusted Execution Environments (TEEs), multiparty computation (MPC), Proposer-Builder Separation (PBS), and Peer Data Availability Sampling (PeerDAS). Ethereum’s modular compliance framework The proposal examines GDPR’s impact over Ethereum’s three layers: execution, consensus, and data availability. In this model, the execution layer functions as processors handling only encrypted or obscured data, whereas the consensus layer focuses on validating commitments and zero-knowledge proofs.
The data availability layer, leveraging PeerDAS, stores only anonymized shards temporarily, aligning with GDPR’s data minimization requirement. By concentrating data controllership at the application layer and utilizing PETs, Ethereum aims to uphold user privacy without compromising its foundational principles, according to Reggianini. Nonetheless, the effectiveness of this framework hinges on widespread community adoption, developer support, and possible cooperation with EU regulatory bodies.
Brief news summary
Eugenio Reggianini, an Ethereum community member, proposes a modular compliance framework designed to align Ethereum’s public blockchain with EU GDPR privacy regulations. The approach shifts personal data handling to network edges—such as wallets and decentralized applications—by employing off-chain storage, metadata erasure, and cryptographic role separation. This design limits GDPR controller responsibilities to a small core group, with most of the network acting as processors or remaining outside GDPR’s reach. Leveraging Ethereum’s modular architecture, the framework integrates privacy-enhancing technologies including proto-danksharding (EIP-4844) to shorten data lifespan and zk-SNARKs to verify transactions without revealing sensitive data. Additionally, it utilizes Fully Homomorphic Encryption, Trusted Execution Environments, multiparty computation, Proposer-Builder Separation, and Peer Data Availability Sampling. Spanning execution, consensus, and data availability layers, the model emphasizes encrypted data processing, proof validation, and ephemeral anonymized storage. By transferring data control to the application layer and adopting advanced privacy tools, the proposal aims to strengthen privacy protections while preserving decentralization. Its effectiveness hinges on active community collaboration and regulatory alignment.
AI-powered Lead Generation in Social Media
and Search Engines
Let AI take control and automatically generate leads for you!

I'm your Content Manager, ready to handle your first test assignment
Learn how AI can help your business.
Let’s talk!

Meta's Aggressive AI Strategy Amidst Talent Acqui…
Mark Zuckerberg is mounting a strong comeback in the race for superintelligent artificial intelligence, signaling Meta’s renewed dedication to overcoming recent setbacks.

DeFi Leader Aave Debuts on Sony-Backed Soneium Bl…
The agreement will encompass Aave’s involvement in forthcoming liquidity incentive programs, including collaborations with Astar, a blockchain well-known within Japan’s Web3 ecosystem.

Meta's Potential $14.8 Billion Investment in Scal…
Meta is reportedly preparing a major $14.8 billion investment to acquire a 49% stake in Scale AI, a leading artificial intelligence company.

AI Daily Report May 09, 2025
The AI Daily Report for May 9, 2025, delivers a comprehensive analysis of recent global market trends and significant developments in the technology and financial sectors.

Trump’s CFTC pick calls blockchain a society-shap…
Brian Quintenz, the nominee chosen by US President Donald Trump to lead the Commodity Futures Trading Commission (CFTC), has described blockchain as a foundational technology with the potential to revolutionize far beyond the financial sector.

Meta's Potential $14.8 Billion Acquisition of Sca…
Meta Platforms has announced a major investment in artificial intelligence by planning to acquire a 49% stake in Scale AI for $14.8 billion.

AI Accelerates Intelligence Operations, Facilitat…
Director of National Intelligence Tulsi Gabbard recently addressed the Amazon Web Services Summit in Washington, emphasizing the transformative impact of artificial intelligence (AI) on U.S. intelligence operations.