SafeGPT: Preventing Data Leakage and Unethical Outputs in Enterprise LLM Use 事件

SafeGPT: Preventing Data Leakage and Unethical Outputs in Enterprise LLM Use arXiv:2601.06366v3 Announce Type: replace-cross Abstract: Large Language Models (LLMs) are transforming enterprise workflows but introduce security and ethics challenges when employees inadvertently share confidential data or generate policy-violating content. This paper proposes SafeGPT, a two-sided guardrail system preventing sensitive data leakage and unethical outputs. SafeGPT integrates input-side detection/redact