SlowMist introduces Web3 security stack for autonomous AI agents
SlowMist introduced a layered security framework for Web3 AI agents as autonomous tools handle more onchain actions and digital assets.
Cybersecurity company SlowMist has introduced a five-layer security framework for AI and Web3 agents, pitching it as a way to reduce the growing risks that come with autonomous systems handling onchain actions and digital assets.
In a Wednesday blog post, the company said the framework centers on a user’s AI agents and combines governance controls through its AI Development Security Solution, or ADSS, with execution-layer tools including OpenClaw, MistEye Skill, MistTrack Skill and MistAgent. The company said the system is designed to create a closed-loop process of checks before execution, constraints during execution and review afterward.
SlowMist’s so-called “digital fortress” aims to defend against risks including prompt injection, supply chain poisoning attacks, data leaks and asset loss due to unauthorized operations or AI agent behavior exploits. It also seeks to reduce risks without sacrificing AI efficiency.