Anthropic Details How It Contains Claude Across Web, Code, and Cowork
Anthropic just revealed why permission prompts fail. Agent safety depends on hard limits, not trust.
Why it matters
As AI agents gain execution capabilities, Anthropic is publishing critical safety architecture lessons—showing that containment must be deterministic (filesystem/network/execution limits) rather than reliant on model behavior or soft guardrails. This is a public safety governance decision that informs how the industry should approach agent deployment.
The key facts
5 to knowAnthropic published containment architecture for Claude across web, code, and cowork products
Safety model: deterministic limits on filesystem, network, and execution environment—not permission prompts
Identified failures at trust boundaries and permitted egress paths
Revised designs based on failure analysis
Addresses agent safety as execution capabilities expand
Go to the source
InfoQ AI/MLinfoq.com
Publisher excerpt: Anthropic detailed the containment architectures it uses for Claude across its products. It argues that agent safety depends on placing deterministic limits on an agent’s filesystem, network, and execution environment rather than on permission prompts or safeguards. Most notably, it examines…