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Biconomy launches DAN to provide secure on-chain transaction management for AI agents

BlockBeats2024/06/08 14:58
By:BlockBeats
Original source: Biconomy


Leading Web3 infrastructure company Biconomy today announced the launch of Biconomy DAN (Delegated Authorisation Network), a breakthrough solution that enables secure delegation of on-chain activities to AI agents. With DAN, AI agents can optimize and authorize transactions on behalf of users, filling the gap in AI adoption in Web3 while maintaining self-custody. Biconomy DAN has partnered with EigenLayer, both of which are committed to improving the security of the solution.


DAN addresses two key challenges in the Web3 space, the lack of true autonomy for AI agents, and the security issues that come with giving AI full control of keys. Providing programmable authorization through user-defined permissions and leveraging EigenLayer AVS for security, DAN ensures that on-chain tasks are securely delegated to AI.


Biconomy co-founder Aniket Jindal said that Biconomy DAN represents a key step in the development of Web3 and perfectly aligns with the industry's trend towards greater decentralization and accessibility. By simplifying the blockchain experience and promoting mass adoption, Biconomy DAN is expected to catalyze a new era of innovation, enabling AI agents to safely handle the complexity of on-chain tasks, and unlocking unlimited possibilities for transformative AI applications in the crypto space.


Biconomy DAN operates by granting AI projects access to user "delegated authorization" keys stored on EigenLayer AVS (Actively Validated Services), ensuring true autonomy while ensuring security. To integrate DAN into an AI agent, projects need to use key storage on DAN and leverage EigenLayer AVS to write custom permissions for these keys through the DAN SDK. DAN is developed and launched by Biconomy in partnership with Silence Labs.


The benefits of using DAN are manifold, including an enhanced on-chain experience through AI-driven proxies while maintaining control over assets and transactions. Users can delegate third parties to execute transactions on their behalf while maintaining full control over their private keys. Biconomy plans to increase the sophistication of permissions by introducing human-readable permissions, universal permissions, permissions based on external data sources, and intent-based permissions. The first AI projects using DAN include Polywrap and zkAutomate.


Biconomy aims to help developers create seamless Web3 experiences and accelerate the global adoption of on-chain solutions. By connecting AI and cryptography, Biconomy DAN makes blockchain technology more accessible and fills gaps in Biconomy's existing account abstraction stack.


Biconomy was founded in 2019 by Aniket Jindal , Sachin Tomar , and Ahmed Al-Balaghi . The platform has over 8,500 developers and works with Web3 giants such as Trust Wallet and Animoca, as well as institutions such as JP Morgan and Mercedes-Benz's Acentrik. Biconomy has deployed over 1.25 million smart accounts, facilitated over 12 million transactions, and its payment management tool manages over $1 million in gas fees, becoming the largest account abstraction (AA) provider on the market.


About Biconomy


Biconomy is a Web3 infrastructure project designed to help developers create seamless transaction experiences for users in dApps, with the goal of bringing the next billion users to Web3. Since 2019, Biconomy has over 400 customers, from JP Morgan and dYdX to Decentraland and Sandbox, and has attracted over 4 million users on Web3. By using the Biconomy SDK built around account abstraction, users can achieve a keyless, gas-free, and chainless experience in dApps, providing a Web2-like user experience in a non-custodial and on-chain environment.


For more information, please visit the Bionomy official website , or follow us on LinkedIn , X and Telegram .


For any media inquiries, please contact [email protected] .


This article comes from a contribution and does not represent the views of BlockBeats


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Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.

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