SlowMist Unveils Five-Layer Security Framework for AI and Web3 Autonomous Agents

Cybersecurity firm SlowMist has recently launched a five-layer security framework specifically designed for Web3 and AI autonomous agents. The framework aims to assist crypto businesses in addressing emerging security threats in the automated operation of smart contracts. It constructs a closed-loop security process: pre-execution review, in-execution constraints, and post-execution review, comprehensively covering risks such as prompt injection, supply chain poisoning, and data breaches, without sacrificing the efficiency of automated agents in scenarios like trading and wallet interaction.

At its core, the AI Development Security Solution (ADSS) serves as the governance hub, coordinating a series of execution-layer tools to achieve transparent permission configuration, real-time interception of risky behavior, and on-chain anomaly detection. This mechanism not only provides internal security teams with auditable decision-making trails but also lays a technical foundation for external compliance reviews.

For developers, the framework advocates embedding security mechanisms into product design from the outset, rather than as an afterthought. Through standardized permission models, dynamic external interaction verification, and on-chain behavior monitoring, AI agents can maintain responsiveness while significantly reducing the risk of misoperation and malicious exploitation. As AI-driven on-chain operations become increasingly prevalent, the industry's demand for traceable and verifiable security standards continues to rise. SlowMist's solution marks a shift from technological integration to governance collaboration between the crypto and AI sectors, providing a practical path that balances innovation and security for the future large-scale application of autonomous agents in exchanges, DeFi News protocols, and wallet services.