ModelRed

ModelRed

Web Application 4.3/5 WebAPIPython SDK

What is ModelRed?

Bulletproof your AI models with adaptive red teaming. Hunt down vulnerabilities in LLMs with 10,000+ evolving attack vectors.

ModelRed is an AI security and red teaming platform that helps organizations identify vulnerabilities in LLMs, agents, RAG pipelines, and custom AI systems. It uses 10,000+ evolving attack vectors to catch jailbreaks, prompt injections, data leaks, and unsafe behavior before deployment. The platform integrates with major AI providers like OpenAI, Anthropic, Google, AWS, and Azure, and offers a developer-first approach with CI/CD gates, version-controlled attack patterns, and reproducible verdicts. It provides a single 0-10 security score and supports team governance with shared probe packs.

Key Features

10,000+ evolving attack vectors

Red team any AI system (LLMs, agents, RAG, custom APIs)

CI/CD gates that fail builds on high-risk findings

Version-controlled attack patterns

Reproducible verdicts from dedicated LLM detectors

Single 0-10 security score tracking over time

Compare results across models, providers, and versions

Export findings to Slack, Jira, or ticketing systems

Team governance with private, shared, or public probe packs

Zero-setup integration—just point to your AI endpoint

Audit trails and compliance reporting

Python SDK available

Works with OpenAI, Anthropic, Google, AWS, Azure, HuggingFace, and more

Local model support via Ollama

Multi-turn manipulation and conversation attack testing

Use Cases

Security teams test LLM-powered chatbots for jailbreaks and prompt injections before production deployment, reducing the risk of harmful outputs by 90%.

AI developers integrate ModelRed into their CI/CD pipeline to automatically fail builds when high-risk vulnerabilities are found, ensuring only secure models reach production.

Compliance officers generate audit trails and security reports for AI systems, demonstrating adherence to internal policies and regulatory requirements.

Product teams compare security scores across different model providers and versions, selecting the most robust AI for their application.

DevOps engineers use the Python SDK to automate red teaming tests in staging environments, catching data leakage and unsafe behavior early in the development cycle.

Research teams evaluate custom fine-tuned models for bias amplification and fairness violations, iterating on training data to improve model safety.

Customer support teams deploy AI agents that have been vetted against tool misuse and unauthorized function calls, preventing unintended actions in live systems.

AI securityred teamingLLM vulnerabilitiesjailbreak detectionprompt injectiondata leakageCI/CD securityAI governance

See all ModelRed alternatives →

Frequently asked questions

Is ModelRed free?: ModelRed offers a free trial.
What is ModelRed used for?: ModelRed is used for Security teams test LLM-powered chatbots for jailbreaks and prompt injections before production deployment, reducing the risk of harmful outputs by 90%.; AI developers integrate ModelRed into their CI/CD pipeline to automatically fail builds when high-risk vulnerabilities are found, ensuring only secure models reach production.; Compliance officers generate audit trails and security reports for AI systems, demonstrating adherence to internal policies and regulatory requirements.; Product teams compare security scores across different model providers and versions, selecting the most robust AI for their application.; DevOps engineers use the Python SDK to automate red teaming tests in staging environments, catching data leakage and unsafe behavior early in the development cycle..
What are alternatives to ModelRed?: See the ranked list of ModelRed alternatives in the AI Security category on ContentBuffer.

ModelRed

What is ModelRed?

Key Features

Use Cases

Frequently asked questions

Comments

Discover more AI tools like this