Nano Banana Pro

LLM System Prompt Security Measures (conceptual)

This is not an image generation prompt, but a conceptual LLM prompt detailing security measures used by Google Finance, generated by Nano Banana Pro. It outlines various techniques like prompt injection content classifiers, security thought

Prompt text

Original English text. Replace placeholders with your own details.

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.

Source & attribution

Tao Hu · Awesome Nano Banana Pro Prompts

Source-listed license: CC-BY-4.0. Prompt text is preserved; titles and previews may be shortened for display. Source examples are not NexGateHub test results.

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