AgentKernel: The Trust-Native Agentic Operating System
AgentKernel is a trust-native agent operating system that addresses security risks in AI agents by enforcing identity, memory, and execution control across their lifecycle.
This paper introduces AgentKernel, a trust-native agent operating system designed to enforce security across agent lifecycles by addressing attack surfaces in untrusted content, prompt injection, and tool misuse.
- AgentKernel introduces a trust-native agent operating system for security
- Addresses attack surface in agent input and tool actions
- Enforces identity, memory, and execution control via four pillars
- Positions AgentKernel as missing OS layer beneath agent frameworks
- Countries
- US
- AI models
- AgentKernel
From the original article
1 min read at huggingface.co
Modern AI agents routinely cross trust boundaries: they ingest untrusted content, combine it with privileged instructions, persist intermediate beliefs in long-term memory, and invoke privileged tools. This creates an attack surface in which malicious payloads can enter through model inputs and cause harmful tool actions.
By Zhenhua Zou, Sheng Guo, Qiuyang Zhan · huggingface.co
A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.