Chainlink founder Sergey Nazarov said privacy gaps limit institutional blockchain use, driving the need for confidential compute.
Chainlink’s system runs private contract logic off-chain while settling verified results on-chain with cryptographic proofs.
Zero-knowledge proofs anchor the design, with future support planned for homomorphic and quantum-resistant encryption.
Chainlink announced a new confidential compute system aimed at addressing privacy limits in blockchain finance. The update was shared through Chainlink statements and comments from founder Sergey Nazarov. The development focuses on enabling private transactions while maintaining cryptographic verification, a requirement widely expected by traditional financial institutions.
Privacy Gap Between Traditional Finance and Blockchains
Chainlink said privacy remains a non-negotiable requirement across traditional finance, fintech, and the global financial system. According to the company, this expectation has limited institutional adoption of public blockchains. Transaction details, identities, and sensitive data often remain private in existing systems.
Sergey Nazarov explained that blockchains must prove correct execution while protecting participant and transaction privacy. However, public ledgers typically expose operational details. As a result, he said privacy concerns have remained a major barrier for enterprise and institutional use.
Notably, Nazarov highlighted that privacy standards already govern internet platforms and regulated financial systems. Access to sensitive data remains limited and controlled. Therefore, he said blockchain systems must adapt to similar conditions to align with existing financial infrastructure.
How Confidential Compute Works Alongside Blockchains
To address this, Chainlink developed a similar processing system that operates alongside blockchains. Nazarov described this system as a co-processor that handles private contract logic. Meanwhile, the blockchain remains the settlement layer for finalized transaction outcomes.
This structure allows sensitive data and identities to stay private during execution. However, the blockchain still receives cryptographic proof that operations occurred correctly. According to Nazarov, this separation preserves both transparency and confidentiality.
Importantly, the confidential compute environment processes private contract conditions outside the public chain. Then, it reports verified results back to the blockchain. This approach supports privacy without sacrificing verification.
Cryptographic Proofs and Future Encryption Methods
Chainlink said the system proves correct execution using zero-knowledge proofs. These proofs confirm outcomes without revealing underlying data. Nazarov stated this mechanism ensures trust for users, regulators, and counterparties.
Over time, Chainlink plans to expand cryptographic methods. These include fully homomorphic encryption and quantum-resistant techniques. According to Nazarov, these tools will further strengthen privacy protections.
As described, confidential compute enables smart contracts that require privacy by design. Chainlink said many financial contracts depend on this capability. The system aims to support such contracts while preserving cryptographic assurance.
This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.
Chainlink Introduces Confidential Compute for Onchain Privacy
Chainlink founder Sergey Nazarov said privacy gaps limit institutional blockchain use, driving the need for confidential compute.
Chainlink’s system runs private contract logic off-chain while settling verified results on-chain with cryptographic proofs.
Zero-knowledge proofs anchor the design, with future support planned for homomorphic and quantum-resistant encryption.
Chainlink announced a new confidential compute system aimed at addressing privacy limits in blockchain finance. The update was shared through Chainlink statements and comments from founder Sergey Nazarov. The development focuses on enabling private transactions while maintaining cryptographic verification, a requirement widely expected by traditional financial institutions.
Privacy Gap Between Traditional Finance and Blockchains
Chainlink said privacy remains a non-negotiable requirement across traditional finance, fintech, and the global financial system. According to the company, this expectation has limited institutional adoption of public blockchains. Transaction details, identities, and sensitive data often remain private in existing systems.
Sergey Nazarov explained that blockchains must prove correct execution while protecting participant and transaction privacy. However, public ledgers typically expose operational details. As a result, he said privacy concerns have remained a major barrier for enterprise and institutional use.
Notably, Nazarov highlighted that privacy standards already govern internet platforms and regulated financial systems. Access to sensitive data remains limited and controlled. Therefore, he said blockchain systems must adapt to similar conditions to align with existing financial infrastructure.
How Confidential Compute Works Alongside Blockchains
To address this, Chainlink developed a similar processing system that operates alongside blockchains. Nazarov described this system as a co-processor that handles private contract logic. Meanwhile, the blockchain remains the settlement layer for finalized transaction outcomes.
This structure allows sensitive data and identities to stay private during execution. However, the blockchain still receives cryptographic proof that operations occurred correctly. According to Nazarov, this separation preserves both transparency and confidentiality.
Importantly, the confidential compute environment processes private contract conditions outside the public chain. Then, it reports verified results back to the blockchain. This approach supports privacy without sacrificing verification.
Cryptographic Proofs and Future Encryption Methods
Chainlink said the system proves correct execution using zero-knowledge proofs. These proofs confirm outcomes without revealing underlying data. Nazarov stated this mechanism ensures trust for users, regulators, and counterparties.
Over time, Chainlink plans to expand cryptographic methods. These include fully homomorphic encryption and quantum-resistant techniques. According to Nazarov, these tools will further strengthen privacy protections.
As described, confidential compute enables smart contracts that require privacy by design. Chainlink said many financial contracts depend on this capability. The system aims to support such contracts while preserving cryptographic assurance.