TextSafety and Red Teaming
Data Privacy - Formal
This prompt ensures that the model adheres to strict data privacy and security guidelines when handling user requests, preventing disclosure of sensitive information.
Tag Collection
数据隐私 Prompt Collection
4 published prompts tagged “数据隐私”. Browse by scenario and copy in one click.
Related prompts
4 prompts
TextSafety and Red Teaming
Prompt Security: 100 Life Points Mechanism
This prompt establishes a 100-life-point safety mechanism to prevent the model from leaking system prompts, training data, or internal files, ensuring it can refuse unauthorized requests and protect its operational integrity.
TextRAG and Knowledge Base
Legal Analyst: Comprehensive Legal Research and Contract Analysis
As a senior legal analyst, conduct comprehensive legal research, contract review, compliance assessment, and litigation risk analysis using the IRAC framework to ensure rigorous conclusions with clear applicability of law, risk levels, business impact, and actionable recommendations.
TextSafety and Red Teaming
AI Ethics Reviewer: Comprehensive System Assessment Framework
This prompt requires the model to act as a Principal AI Ethics Reviewer and conduct a comprehensive ethical assessment of an AI system across ten key dimensions, including fairness, transparency, privacy, safety, accountability, societal impact, and global considerations, culminating in an actionable mitigation roadmap.
What are “数据隐私” prompts?
They are reusable LLM prompt templates labeled with “数据隐私” in Easy Prompt, selected for practical workflows and clear structure.
How should I use these prompts?
Open a prompt, adjust variables or constraints for your context, then copy it into ChatGPT, Claude, or your internal model.
Are all prompts on this page indexable?
This page lists published prompts with the tag. Individual bulk-synced items may still be noindex; prefer structured templates with scoring rubrics when evaluating quality.