Sui Mainnet Launches Seal MPC for Secure AI Agent Access

June 19, the Sui Network announced the launch of its Seal Multi-Party Computation (Seal MPC) feature on the mainnet for AI agents.
Rajpalsinh ParmarRajpalsinh Parmar
Written by Rajpalsinh Parmar
Niharika DeshpandeNiharika Deshpande
Fact checked by Niharika Deshpande

Published Jun 19, 2026, 23:50 UTC

Sui Introduces Seal MPC for AI Agents on Mainnet

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  • On June 19, Sui announced the launch of Seal MPC on mainnet, which is a decentralized layer using Multi-Party Computation (MPC) that allows AI agents to securely access data.
  • Sensitive information stays encrypted while access is governed on-chain.
  • The launch targets the fast-growing AI agent sector, where autonomous agents are expected to drive trillions in commerce.

June 19, the Sui Network announced the launch of its Seal Multi-Party Computation (Seal MPC) feature on the mainnet, which is a major step in developing secure infrastructure for autonomous AI agents.

Seal is described as a programmable access layer for data, AI, and digital assets that enables decentralized encryption and access controls.

By using MPC technology, the system uses distributed cryptographic control to access multiple independent parties, ensuring that no single entity, including an AI agent, can unilaterally move funds or access encrypted data. 

The first mainnet MPC committee operates with a 5-of-8 threshold. Developers now have the flexibility to deploy independent major servers, MPC committees, or hybrid configurations, allowing for stronger and more tailored trust models. The platform also supports natural language spending rules through Move smart contracts, enabling users to define AI payment policies such as daily caps or counterparty restrictions. This launch expands on a decentralized key server prototype that was introduced on Sui’s testnet in March 2026.

How Seal MPC Works

Seal allows sensitive information, such as AI models, user preferences, or agent memory, to remain encrypted off-chain or in decentralized storage systems like Walrus. At the same time, access rights to this data are governed by smart contracts on the Sui blockchain. Developers can set these policies using the Move programming language, and decryption of the data can only happen if the programmable rules are satisfied.

With the addition of Seal MPC, trust is further decentralized. Instead of relying on a single key server, a committee of operators jointly protects key shares using threshold cryptography and distributed key generation. 

In its initial configuration, the committee uses a 5 of 8 setup, involving participants such as Mysten Labs and Triton One. No single party holds the full key. When a request is made, it goes through an aggregator that combines the partial responses from committee members, and the client decrypts the data locally. The master key never exists in one place. 

There are many major benefits of this approach. Committee members can be rotated without requiring re-encryption, meaning the public key and policies can stay stable even as the committee changes. Developers have flexible configuration options, as they can mix independent key servers, MPC committees, or hybrid setups with the same software development kit. By integrating with Sui’s AI ecosystem and leveraging Walrus for decentralized storage, Seal enables use cases such as secure agent memory, programmable wallets, and agentic commerce. 

Growth in AI Agent Payments 

The launch of Seal MPC comes at a time of explosive growth in what is being called the agentic economy. AI agents are moving beyond simply offering advice and suggestions. McKinsey, a global management consulting firm, reported that the global agentic commerce market is expected to reach between $3 and $5 trillion by 2030.

The agentic payments market is also expected to grow immensely. There have been forecasts which suggest that this sector could increase to $93 billion by 2032. Estimates for the broader AI agent market in 2026 range from about $8 to $12 billion, with strong compound annual growth rates projected through 2030. In the crypto sector, AI agents need infrastructure that can handle micro-transactions, stablecoin payments, and settlements between agents. 

Rajpalsinh ParmarRajpalsinh Parmar
Written By Rajpalsinh Parmar

Rajpalsinh Parmar is a Crypto Journalist at CryptoNewsZ with over three years of experience. His work is so well-regarded that it has been cited in a Cambridge University research paper. Rajpalsinh is an expert in crypto trading bots and blockchain tech. He also covers major industry events and hackathons. He is a hands-on user who tests trading tools to see how they work in the real market. Rajpalsinh loves making hard topics easy to understand. He gives readers the facts they need to stay ahead in the world of digital assets.

Niharika DeshpandeNiharika Deshpande
Fact Checked By Niharika Deshpande

Niharika Deshpande is an Editor at CryptoNewsZ with over four years of experience in digital media. While she has a Master’s in Biochemistry, she is an expert at making hard blockchain ideas easy to understand. Niharika has a sharp eye for market trends and shares breaking news from the crypto world. She used to be a writer for well-known publications in the industry, where she did deep research. Her work focuses on giving readers clear facts to help them stay updated. Niharika is passionate about how blockchain changes different industries. She also spends time in the crypto community talking about new tech.

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