ModelRed

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Continuously tests and reports vulnerabilities in LLM-based applications, detecting prompt injections, data leaks, and exploits; integrates with any LLM and CI/CD pipelines.

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ModelRed is an AI-focused security tool designed to continuously test large language model (LLM) systems for vulnerabilities such as prompt injections, data leaks, and security exploits. It provides automated and ongoing scanning of LLM-powered applications to detect potential risks before they can be exploited, helping developers maintain security throughout the AI product lifecycle.

The app supports integration with any LLM provider and fits into continuous integration and continuous deployment (CI/CD) pipelines, enabling seamless security monitoring within existing development workflows. ModelRed offers adaptive red teaming capabilities, simulating adversarial attacks to identify weaknesses in AI models early, which assists in minimizing security incidents related to prompt-based exploits and unauthorized data exposure.

Key features include automated testing for prompt injections and data leaks, compatibility with diverse AI providers, and integration with developer pipelines. ModelRed aims to enhance the security posture of AI applications by providing a proactive and scalable approach to vulnerability detection specifically tailored for LLMs and conversational AI systems. This focus on AI-specific security testing addresses a critical need in the development and deployment of intelligent applications.

This description was generated by AI (artificial intelligence). AI can make mistakes. Check important info.

ModelRed.ai is the developer-first platform for security testing, red teaming, and governance of large language models (LLMs). We help companies identify and fix vulnerabilities before their AI models reach production—so they can ship with confidence. AI is moving fast, but so are the threats. From prompt injection and jailbreaks to bias, model leakage, and compliance violations, today’s LLMs are exposed to attack vectors that traditional security tools can’t catch. Regulatory pressure is increasing, and the cost of deploying unsafe AI—both in reputation and compliance penalties—has never been higher.

Website: modelred.ai

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ModelRed

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