SlowMist collaborates with Bitget to release AI Agent Security Report, Security Boundaries Behind "Lobster" Automated Trading

BlockBeats News, March 18th, as the application of AI Agents in crypto trading is rapidly gaining popularity, automated trading is transitioning from "tool-assisted" to "autonomously executed." However, at the same time, a series of security risks are also emerging in parallel. Recently, security firm SlowMist and the panoramic exchange Bitget jointly released an AI Agent Security Report, systematically analyzing the potential threats and protection system of Agent automated trading in the current Web3 scenario.

The report, combining real cases and security research, analyzed the typical security issues facing current AI Agents, including behavior manipulation risks caused by Prompt Injection, supply chain vulnerabilities in the plugin and Skill ecosystem, API Key and account permission abuse, as well as potential threats such as operational errors and permission escalation caused by automated execution.

The report recommends that users should effectively control permissions when using AI Agents for trading, through sub-account isolation, setting API IP whitelists, and establishing continuous transaction monitoring and anomaly alert mechanisms. At the same time, introducing manual confirmation or independent signature mechanisms in high-risk operations to avoid model misjudgment directly affecting asset security. To facilitate users in implementing security protection, the report includes a transaction security self-checklist at the end of the document to help users quickly identify security vulnerabilities.

From an industry development perspective, AI Agents are continuously driving the intelligence of Web3 transactions, but security system construction still needs to be upgraded concurrently. How to establish a balance between efficiency and controllability will become an important long-term issue of industry concern.