Audience
IT teams interested in a solution to protect AI applications from prompt injection
About Rebuff AI
Store embeddings of previous attacks in a vector database to recognize and prevent similar attacks in the future. Use a dedicated LLM to analyze incoming prompts and identify potential attacks. Add canary tokens to prompts to detect leakages, allowing the framework to store embeddings about the incoming prompt in the vector database and prevent future attacks. Filter out potentially malicious input before it reaches the LLM.
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Integrations
Company Information
Rebuff AI
www.rebuff.ai/
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Product Details
Platforms Supported
Cloud
Training
Documentation
Support
Online
