Futures
Access hundreds of perpetual contracts
TradFi
Gold
One platform for global traditional assets
Options
Hot
Trade European-style vanilla options
Unified Account
Maximize your capital efficiency
Demo Trading
Introduction to Futures Trading
Learn the basics of futures trading
Futures Events
Join events to earn rewards
Demo Trading
Use virtual funds to practice risk-free trading
Launch
CandyDrop
Collect candies to earn airdrops
Launchpool
Quick staking, earn potential new tokens
HODLer Airdrop
Hold GT and get massive airdrops for free
Pre-IPOs
Unlock full access to global stock IPOs
Alpha Points
Trade on-chain assets and earn airdrops
Futures Points
Earn futures points and claim airdrop rewards
Cobo proposes the "Contracted Permissions + MPC" framework: building a controllable trust layer for the Agent economy
BlockBeats News, April 21 — At an offline event themed “Decoding Web 4.0: When AI Agents Take Over On-Chain Permissions,” Brad Bao, Cobo AI’s Head of Growth, said that Cobo is reconstructing an Agent’s fund control logic through a structured permission system. In its products, the relationship between users and Agents is no longer a simple wallet authorization relationship; instead, permission boundaries are defined by an executable “contract (Policy/Agreement).”
This contract includes at least four core elements: Intent, Path, Rules, and Completion and Termination conditions, thereby upgrading permission control from the original “all or nothing” model into a fine-grained governance mechanism that is negotiable, auditable, and revocable.
At the execution level, Cobo combines MPC (Multi-Party Computation) technology to ensure that even if the Agent exhibits abnormal behavior, the system is attacked, or risks such as prompt injection occur, the funds are always controlled by the user, and no single party can bypass the constraints to transfer assets independently. Brad Bao emphasized that under this architecture, the Agent can obtain sufficient operational freedom to complete complex tasks, but its actions are always limited within verifiable boundaries.
He said that, in essence, this system builds a layer of “trust and insurance infrastructure” within the Agent economy, and by pairing “contractualized permissions + secure computation,” it enables controllable delegation of Agent behavior. Ultimately, while improving automation efficiency, it also safeguards users’ asset security and ensures result certainty.