Poster: ClawdGo: Endogenous Security Awareness Training for Autonomous AI Agents

Abstract

Autonomous AI agents deployed on platforms such as OpenClaw face prompt injection, memory poisoning, supply-chain attacks, and social engineering, yet existing defences address only the platform perimeter, leaving the agent's own threat judgement entirely untrained. We present ClawdGo, a framework for endogenous security awareness training: we teach the agent to recognise and reason about threats from the inside, at inference time, with no model modification. Four contributions are introduced: T

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@misc{li2026poster,
  title = {{Poster: ClawdGo: Endogenous Security Awareness Training for Autonomous AI Agents}},
  author = {Jiaqi Li and Yang Zhao and Bin Sun and Yang Yu and Jian Chang and Lidong Zhai},
  year = {2026},
  month = apr,
  eprint = {2604.24020},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2604.24020}
}