AWS launches open-source AI agent sandbox to prevent YOLO mode disasters
Strands Box is the latest open source AI control tool from the cloud giant; like its predecessors, it promises tighter reins on autonomous agents
AWS has unveiled Strands Box, an open-source AI agent sandbox, aimed at preventing autonomous AI agents from behaving recklessly. The solution employs OS-level isolation and other AWS open-source AI control tools to maintain control over agent behavior. While containers and microVMs are commonly used to isolate AI agents, they often lack contextual rule enforcement.
Strands Box addresses this issue by using the Dogwood Local Engine, which provides temporal awareness to the policy engine, enabling the engine to check tool calls against an agent's past actions. This prevents potential disasters, such as an agent spamming a Slack account or accessing the internet for unknown purposes. Strands Box also includes Strands Shell and Monty for Python, which allow developers to monitor and control agentic actions via shell and Python operations.
AWS VP and distinguished engineer Marc Brooker emphasized that these interpreters help make agentic behavior more comprehensible for developers, enabling them to write more precise policies to prevent undesirable actions. Although Box enforces policies deterministically, developers must still be responsible for granting access and determining when human review is necessary.
Strands Box is now available on GitHub and supports macOS, with Linux and Windows support in development. Deployment on platforms like AgentCore, ECS, and Kubernetes is also planned.
Written by urgent.news from The Register Science's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
This story
This is one outlet's version. Read the fullest account.