![]() Employees will be able to use data for the benefit of the organization, but compartmentalization will prevent them from stealing the data. Internal Compartmentalization – Large organizations can use Enigma to protect their data and trade secrets from rogue employees and corporate espionage. By using Enigma, companies will be able to securely use their data without actually storing or processing the data on their services, eliminating security risks and assuring customer privacy. Secure Backend – Many corporations store large amounts of customer data to provide personalized services, targeted advertising, special offers, etc. For example, a pharmaceutical company looking for suitable candidates for clinical trials can scan genome databases to find the right patients. Potential Applications of Enigmaĭata Marketplace – Enigma can facilitate a direct consumer-to-business data marketplace where consumers can provide access to their data with guaranteed privacy, security, and autonomous control. Enigma’s off-chain network can be used to run heavy computations that are then broadcast through the blockchain. Heavy Processing – Even without privacy concerns, most blockchains can’t scale to handle a large volume of complex transactions. Private contracts execute code without leaking raw data to any nodes, which is necessary if they are to replace current centralized solutions that process sensitive data in ways that negate the benefits of a blockchain. Privacy-Enforcing Computation – To use Engima, developers must write private contracts that define the public parts executed on the blockchain and private parts that are run off-chain on Enigma. Off-chain nodes make up a distributed database, and each node gets only piece of encrypted data to ensure the computation is private and fault tolerant. Enigma uses an off-chain distributed hash table (DHT) to give blockchains access to references of stored data. Off-Chain Storage – Blockchains are not designed to function as general-purpose databases. Off-Chain InfrastructureĮnigma’s off-chain design solves the following problems in blockchain design: Apps can use the protocol to run computations on data without having access to the raw data itself. Developers can use private contracts to build secure end-to-end decentralized apps without having to trust centralized third parties with sensitive data. ![]() It supplies a scripting language for designing decentralized applications using what it calls “private contracts,” which are a variation of smart contracts that can handle private information. Privacy is baked into the Enigma’s design. Transactions are still facilitated by the blockchain, which enforces access based on digital signatures and programmable permissions. How Enigma WorksĮnigma connects to existing blockchains and provides them with a secondary layer where they can off-load data for storage and perform intensive computations. The decreased redundancy enables more demanding computations and allows blockchains to scale. Each node performs computation over different parts of the data. Scalability – Computations and data storage on Enigma are not replicated by every node in the network. Every node on the network handles a random piece of the data and no single node can access the data in its entirety.Ģ. Privacy – Enigma uses multiparty computation (MPC) and a distributed hash table to store and compute data queries without relying on third parties. Sensitive information would have to stored and processed in centralized manner for security, which defeats the purpose of using the blockchain in the first place.Įnigma is creating a decentralized computation platform that guarantees two core functions for blockchain networks:ġ. Private data will be fully exposed when it flows through nodes on the blockchain. The public nature of the blockchain guarantees transparency by creating an unchangeable record of activities, but this level of transparency limits the potential use cases of its technology. Enigma is an off-chain decentralized network that enables blockchains to store and run private computations on data.
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