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walrus

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first_img Mysten Labs appointed Kevin Boon as CEO, and Evan Cheng remains as CTO and leads the AI department

Kevin Boon, President of Mysten Labs, has succeeded Evan Cheng as the CEO of this Sui Layer 1 blockchain developer. Cheng will continue to serve as Chief Technology Officer and personally lead the newly established internal AI business unit. In an open letter released on October 16, Cheng stated that Boon has accepted the position and announced the news simultaneously on X. Boon previously served as Chief Legal Officer at Mysten Labs before being promoted to President. Cheng mentioned, "I planned for this day when I appointed him as President."The new AI department will have independent functions such as engineering and product development to reduce external dependencies, and will focus on trust proxy products and AI-native infrastructure, referencing the model of the on-chain financial business unit established by Mysten this summer. Cheng stated that this transition is intended to free up more time for him to focus on technical leadership while continuing to support the Sui and Walrus ecosystems, "This makes my scope of responsibilities more manageable."The goal of the AI business is to allow proxies to autonomously execute tasks within user-defined limits, with related products and services anchored to Sui and Walrus. Walrus is Mysten's decentralized storage protocol, which is set to launch its mainnet in March 2025. Cheng specifically mentioned the Verifiable Agent Arbiter developed in collaboration with Google Cloud, which was announced on October 6, aimed at allowing enterprises to prove that their AI agents operate within authorized boundaries. As designed, detailed proxy records are stored in the customer-controlled Google Cloud Storage, with cryptographic proofs stored on Walrus and coordinated on Sui, with initial enterprise deployment plans set to launch ahead of broader availability.

Seal announced the launch of the mainnet, and Walrus has become the first decentralized data platform with access control

ChainCatcher news, the decentralized key management solution Seal has announced its mainnet launch, providing encryption and access control features for developers building on the protocol.With the release of Seal, Walrus becomes the first decentralized data platform to natively support on-chain access control, enabling the integration of programmable data access solutions in applications of any scale, unlocking more use cases including sharing proprietary training data or fine-tuning models under strong access policies, token-gated subscription services, and dynamic game content. Currently, dozens of projects based on Walrus are using Seal, including Inflectiv, Vendetta, TensorBlock, etc., demonstrating the immediate practical value of on-chain encryption and access control. Additionally, OneFootball plans to use Walrus + Seal to provide content with built-in copyright management, while Watrfall is leveraging Walrus + Seal to unlock new distribution, ownership, and fan interaction models. Alkimi has been processing over 25 million ad impressions daily on Walrus and ensuring client data confidentiality through Seal. It is reported that Seal was launched by Mysten Labs, the original contributors of the Sui blockchain, aiming to achieve programmable, application-specific access control logic through Move and to seamlessly and securely run client encryption/decryption processes using identity-based and threshold-based encryption technologies.

Gata integrates Walrus decentralized storage, empowering the trillion-dollar AI economy

ChainCatcher news, the decentralized AI execution infrastructure Gata has officially completed its integration with Walrus.Walrus is a decentralized storage protocol developed by Mysten Labs and deployed on the Sui public blockchain. Walrus focuses on decentralized storage and privacy-preserving computation, integrating key technologies such as TEE (Trusted Execution Environment), ZKP (Zero-Knowledge Proof), and MPC (Secure Multi-Party Computation) to ensure that AI models and data can be securely and verifiably stored and accessed on-chain.This integration further enhances Gata's end-to-end capabilities from distributed data collaboration to AI model inference. By orchestrating a globally distributed computing power network, Gata breaks the limitations of traditional data centers, enabling collaborative AI training and inference, providing a more cost-effective and widely accessible infrastructure for advanced AI.With this integration, Gata users can now securely store data generated by DataAgent tasks in Walrus and instantly call it for model training or inference when needed, truly achieving end-to-end decentralized AI data flow.This collaboration also lays the foundation for Gata's multi-chain ecosystem layout, including the upcoming expansion into the Sui ecosystem. In the future, Gata will continue to collaborate with leading decentralized storage and privacy computing infrastructure to accelerate the practical deployment of AI models and encourage more developers and enterprises to participate in AI innovation in a safer and more sustainable way.
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