Zama is an open-source cryptography platform specializing in Fully Homomorphic Encryption (FHE), allowing computations on encrypted data without decrypting it first. It enables developers to build confidential applications on any Layer 1 or Layer 2 blockchain, preserving privacy while maintaining transparency and verifiability. Use cases include encrypted token transfers, privacy-preserving AI workflows, confidential smart contracts, and secure data analysis across industries like finance, healthcare, and genomics.
Is Zama a secure platform?
Zama ensures security by leveraging FHE, which keeps data encrypted throughout processing, preventing exposure of sensitive information even during computation. Its protocol supports trustless verification of encrypted operations, and the platform undergoes regular cryptanalysis and audits to maintain robustness. The open-source nature and community research grants further enhance transparency and continuous improvement of its privacy-preserving technology.
How to use Zama?
To use Zama, developers can access its Concrete libraries and SDKs available on GitHub to integrate FHE capabilities into their applications and smart contracts. The platform provides extensive documentation, tutorials, and demos for tasks like encrypted token transfers or private data analysis, supporting languages such as Rust and Python. Users can experiment with demo applications online and contribute to the open-source ecosystem to build privacy-first decentralized apps and AI workflows.
What services does Zama offer?
Zama offers a suite of open-source tools and frameworks for implementing Fully Homomorphic Encryption, enabling confidential smart contracts, encrypted data analytics, private voting, and on-chain blind auctions. It provides developer-friendly libraries (Concrete), performance optimizations (TFHE-rs), and a confidential blockchain protocol compatible with Ethereum. Additional services include research grants, community support, and tutorials to accelerate adoption of privacy-preserving cryptography in blockchain and AI applications.
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