ModelRed

ModelRed

AI Security & Red Teaming Platform - Test LLMs, agents, RAG pipelines, and custom AI systems for vulnerabilities before production

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About ModelRed

ModelRed is a comprehensive AI security and red teaming platform designed to help organizations test and secure their AI systems before deployment. The platform enables teams to identify vulnerabilities, jailbreaks, prompt injections, data leaks, and unsafe behavior in any AI system that accepts text input and produces text output. ModelRed works universally with LLMs, AI agents, RAG pipelines, and custom AI applications from any provider including OpenAI, Anthropic, Google, AWS Bedrock, Azure, and more. The platform offers a developer-first approach to AI security, providing automated red-teaming capabilities that integrate seamlessly into CI/CD pipelines. Teams can conduct comprehensive security assessments covering jailbreaks, prompt injection attempts, data leakage, PII extraction attacks, unsafe content generation, tool misuse, context hijacking, system prompt extraction, adversarial inputs, multi-turn manipulation, cross-injection attacks in RAG systems, and bias amplification. ModelRed features version-controlled attack patterns, CI/CD gates that can fail builds on high-risk findings, reproducible verdicts from dedicated LLM detectors, and a single 0-10 security score that tracks over time. The platform enables teams to compare results across models, providers, and versions, export findings to Slack, Jira, or other ticketing systems, and maintain team governance with private, shared, or public probe packs. With zero-setup integration requiring only pointing to an AI endpoint, built-in audit trails and compliance reporting, ModelRed provides production-ready security testing that scales with AI development workflows. The platform caught vulnerabilities in production systems that internal testing missed, making it essential for organizations deploying AI at scale.

βš–οΈ Pros & Cons

πŸ‘ Pros

  • βœ“ Works with any AI provider without requiring rewrites or complex integrations
  • βœ“ Comprehensive attack coverage including jailbreaks, prompt injections, and data leaks
  • βœ“ Developer-first approach with CI/CD integration and version control
  • βœ“ Free tier available with no credit card required for development
  • βœ“ Quick 5-minute setup with zero-configuration integration

πŸ‘Ž Cons

  • βœ— Currently only Python SDK available, other languages coming in 2025
  • βœ— Requires text-based input/output, may not work with other modalities
  • βœ— Advanced features and higher limits require paid subscription plans

🎯 Who Should Use This Tool

AI developers, security engineers, ML engineers, DevOps teams, AI product managers, and enterprises deploying LLMs, AI agents, RAG systems, or custom AI applications who need to ensure security and safety before production deployment

πŸ’° Pricing Information

Free Plan: $0/forever - 1 registered model, unlimited assessments, import 5 probe packs, create 10 custom probe packs, full API access. Starter Plan: From $49/month - 3 registered models, import 30 probe packs, create 50 custom probe packs, 10 AI-generated probes/month, basic team collaboration. Pro Plan: From $249/month (Most Popular) - 5 registered models, unlimited assessments & probes, 100 AI-generated probes/month, advanced team collaboration, priority email support. Enterprise Plan: Custom pricing - unlimited models & assessments, 500 AI-generated probes/month, enterprise SSO & collaboration, 24/7 phone support & dedicated CSM, custom SLAs & high rate limits

πŸ“Š Performance Metrics

1.2s average
response time
All systems operational
uptime
99.7%
pass rate
1,247+
attacks tested

πŸ”’ Security & Privacy

Enterprise SSO and collaboration features available. Audit trails and compliance reporting built-in. Version-controlled security testing with reproducible results. Custom SLAs available for enterprise customers. All systems operational status monitoring. Privacy policy and terms of service available on website.

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πŸ“‹ Tool Information

Company
ModelRed
Last Updated
Apr 13, 2026
Availability
πŸ”Œ API