AgentWall: A Runtime Safety Layer for Local AI Agents
The safety of autonomous AI agents is increasingly recognized as a critical open problem. As agents transition from passive text generators to active actors capable of executing shell commands, modifying files, calling APIs, and browsing the web, the consequences of unsafe or adversarially manipulated behavior become immediate and tangible. Existing AI safety work has focused primarily on model alignment and input filtering, but these approaches do not address what happens at the moment an agent
Record details
Published: 24 March 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Agents & autonomy
Retrieved: 14 July 2026
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ethics.ai (24 March 2026), “AgentWall: A Runtime Safety Layer for Local AI Agents,” evidence record 6814, https://ethics.ai/record/6814 (originally published by arXiv).
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