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.

Integrations

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Company Information

Rebuff AI
www.rebuff.ai/

Videos and Screen Captures

Rebuff AI Screenshot 1
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Product Details

Platforms Supported
SaaS
Training
Documentation
Support
Online

Rebuff AI Frequently Asked Questions

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Rebuff AI Product Features

Application Security

Source Code Analysis
Open Source Component Monitoring
Vulnerability Detection
Vulnerability Remediation
Third-Party Tools Integration
Training Resources
Analytics / Reporting

Rebuff AI Additional Categories