How to Build Secure AI Agents for DeFi With Human Oversight and Policy Controls

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AI agents in decentralized finance can monitor blockchain data, analyze markets, and execute on-chain transactions, but granting them wallet access introduces significant security risks. Developers are advised to start with read-only functionality — such as fetching token balances and lending positions — before enabling any transaction-signing capabilities. A layered architecture is recommended, separating data collection, AI reasoning, deterministic policy checks, and human or multisig approval into distinct stages. Hard-coded rules, such as maximum trade values and approved contract whitelists, should govern what actions an AI agent is permitted to take, rather than relying solely on the AI's judgment. This approach ensures that even if an AI model produces an incorrect recommendation, financial safeguards and human oversight remain in place to prevent irreversible on-chain actions.

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