CollieAi
Drop-in, provider-agnostic security proxy for LLM apps. Block prompt injection, jailbreaks, PII leaks and unsafe output — OpenAI-compatible and Anthropic-native, with a one-line change.
Overview
Drop-in, provider-agnostic security proxy for LLM apps. Block prompt injection, jailbreaks, PII leaks and unsafe output — OpenAI-compatible and Anthropic-native, with a one-line change.
CollieAi is a drop-in, provider-agnostic security proxy designed for LLM applications, claiming to block prompt injection, jailbreaks, PII leaks, and unsafe outputs. It integrates seamlessly with various AI providers and offers real-time control over AI interactions with a focus on security and compliance.
Who Is It For
Teams looking to enhance the security of their AI applications, particularly those using LLMs and needing to comply with data protection regulations.
Individuals or small teams without the need for extensive AI security measures or those seeking a purely standalone AI solution without integration.
Strengths & Weaknesses
Offers a comprehensive security framework for LLM applications with real-time monitoring and a user-friendly rule configuration interface.
Limited information on advanced features and support options for larger enterprises (AI-inferred; may be outdated – founders can correct this)
Classification
Alternatives to CollieAi
Community
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