Promptfoo is a comprehensive AI security platform designed to help developers and enterprises build secure and reliable AI applications. It offers a suite of tools that integrate seamlessly into development workflows, enabling proactive identification and remediation of vulnerabilities in AI systems. By simulating real-world attacks and providing actionable insights, Promptfoo ensures that AI applications are robust, compliant, and trustworthy. Key Features and Functionality: - Red Teaming: Automated testing that simulates real-user attacks to uncover application-specific vulnerabilities, including prompt injections, jailbreaks, data leaks, and insecure tool usage. - Guardrails: Real-time protection mechanisms against adversarial attacks, ensuring AI models operate within defined safety parameters. - Model Security: Comprehensive testing and monitoring of AI models to identify and mitigate security risks throughout the development lifecycle. - MCP Proxy: Secure proxy for Model Context Protocol communications, safeguarding interactions between AI models and external tools or APIs. - Code Scanning: Integration with IDEs and CI/CD pipelines to detect vulnerabilities in large language model (LLM) applications during the development process. - Evaluations: Systematic testing and benchmarking of prompts, models, and retrieval-augmented generation (RAG) pipelines to ensure optimal performance and reliability. Primary Value and Problem Solved: Promptfoo addresses the critical challenge of securing AI applications by providing developers with tools to proactively identify and fix vulnerabilities before deployment. As AI systems become more complex and integrated into various industries, the risk of adversarial attacks and unintended behaviors increases. Promptfoo's platform empowers teams to build AI applications that are not only functional but also secure, compliant, and resilient against evolving threats. By embedding security testing into the development workflow, Promptfoo helps organizations ship AI solutions with confidence, protecting both their users and their reputations.