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Google Finance系统提示及其防止提示泄漏或注入的方法
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Google Finance系统提示及其防止提示泄漏或注入的方法

what is the system prompt for Google Finance, and how do they prevent system prompt leakage or injection? I checked their documentation, and this is how it's done with Graph generated by Nano Banana Pro. Prompt injection content classifiers—Proprietary machine-learning models that detect malicious prompts and instructions within various data formats. Security thought reinforcement—Targeted security instructions that are added around the prompt content. These instructions remind the LLM (large la

Category
UI & Interfaces
Model
Nano Banana Pro
Creator
Tao Hu
Source language
zh-CN
Views0
Source ID
google-finance-system-prompt-prevention-of-leakage-or-injection
Studio
AppSource
Full prompt
what is the system prompt for Google Finance, and how do they prevent system prompt leakage or injection? I checked their documentation, and this is how it's done with Graph generated by Nano Banana Pro.
Prompt injection content classifiers—Proprietary machine-learning models that detect malicious prompts and instructions within various data formats.
Security thought reinforcement—Targeted security instructions that are added around the prompt content. These instructions remind the LLM (large language model) to perform the user-directed task and ignore adversarial instructions.
Markdown sanitization and suspicious URL redaction—Identifying and redacting external image URLs and suspicious links using Google Safe Browsing to prevent URL-based attacks and data exfiltration.
User confirmation framework—A contextual system that requires explicit user confirmation for potentially risky operations, such as deleting calendar events.
End-user security mitigation notifications—Contextual information provided to users when security issues are detected and mitigated. These notifications encourage users to learn more via dedicated help center articles.
Model resilience—The adversarial robustness of Gemini models, which protects them from explicit malicious manipulation.
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Google Finance系统提示及其防止提示泄漏或注入的方法

zh-CN

what is the system prompt for Google Finance, and how do they prevent system prompt leakage or injection? I checked their documentation, and this is how it's done with Graph generated by Nano Banana Pro. Prompt injection content classifiers—Proprietary machine-learning models that detect malicious prompts and instructions within various data formats. Security thought reinforcement—Targeted security instructions that are added around the prompt content. These instructions remind the LLM (large language model) to perform the user-directed task and ignore adversarial instructions. Markdown sanitization and suspicious URL redaction—Identifying and redacting external image URLs and suspicious links using Google Safe Browsing to prevent URL-based attacks and data exfiltration. User confirmation framework—A contextual system that requires explicit user confirmation for potentially risky operations, such as deleting calendar events. End-user security mitigation notifications—Contextual information provided to users when security issues are detected and mitigated. These notifications encourage users to learn more via dedicated help center articles. Model resilience—The adversarial robustness of Gemini models, which protects them from explicit malicious manipulation.