ModelRed
ModelRed: Automated AI red teaming and security scoring for LLMs, provider-agnostic and CI/CD ready.
About
ModelRed is a cloud-based, provider-agnostic platform for AI security testing, red teaming, and vulnerability assessment focused on large language models (LLMs) and AI systems. It automates security probe execution across 10,000+ attack vectors, applies detector-based verdicts, and generates ModelRed Scores with detailed reports. With integrations for OpenAI, Anthropic, Google, AWS, Azure, and custom REST endpoints, ModelRed fits into CI/CD pipelines, offers team governance, developer SDKs, comprehensive logging, and flexible free and paid tiers to help organizations proactively uncover and remediate AI weaknesses.
Details
ModelRed is a cloud-based, provider-agnostic platform for AI security testing, red teaming, and vulnerability assessment focused on large language models (LLMs) and AI systems. It automates security probe execution across 10,000+ attack vectors, applies detector-based verdicts, and generates ModelRed Scores with detailed reports. With integrations for OpenAI, Anthropic, Google, AWS, Azure, and custom REST endpoints, ModelRed fits into CI/CD pipelines, offers team governance, developer SDKs, comprehensive logging, and flexible free and paid tiers to help organizations proactively uncover and remediate AI weaknesses.
Key Features
- Automated Threat Probe execution against AI models
- 10,000+ evolving attack vectors with versioned Probe Packs
- Detector-based verdicts to confirm attack success and vulnerabilities
- ModelRed security scoring (ModelRed Score) and detailed reporting
- Provider-agnostic integrations: OpenAI, Anthropic, Google, AWS, Azure
- Custom REST API endpoint support for proprietary models
- CI/CD pipeline integration for automated security gating
- Team governance for roles, permissions, and collaboration
- Developer SDK for extending and integrating ModelRed
- Comprehensive test data capture and logging for auditability
Use Cases
- Security teams: Continuously red team production LLMs to detect jailbreaks, prompt injection, and data exfiltration risks.
- MLOps/AI platform engineers: Integrate automated AI security gates into CI/CD to block risky model releases.
- Enterprises adopting GenAI: Assess vendor and in-house models across providers with standardized security scoring.
- Compliance and risk officers: Generate audit-ready reports demonstrating ongoing AI security controls and testing cadence.
- Startups building AI products: Use the free tier to baseline model security and upgrade as usage scales.
- Red team consultants: Leverage versioned probe packs and logging to run structured client assessments.
- Government and regulated orgs: Test for policy evasion, content safety, and data leakage across restricted domains.
- Product managers: Prioritize fixes using detector-based verdicts and ModelRed Scores tied to business impact.
- DevSecOps: Automate regression testing of model defenses after prompt guard or detector updates.
- AI research labs: Evaluate robustness of new model variants against evolving attack vectors.
Pros & Cons
Pros
- Automates red teaming across 10,000+ attack vectors
- Provider-agnostic with support for OpenAI, Anthropic, Google, AWS, Azure, and custom endpoints
- Integrates seamlessly into CI/CD pipelines for automated security gates
- Provides standardized ModelRed Score for easy benchmarking
- Offers a free tier to start baseline security testing
Frequently Asked Questions
What is ModelRed and what does it offer?
ModelRed is a cloud platform for AI security testing, red teaming, and vulnerability assessment of LLMs and AI systems, featuring automated probes, detector-based verdicts, security scoring, reporting, and integrations with major providers.
How does ModelRed help secure AI systems?
It runs 10,000+ attack vectors to stress-test models, automates vulnerability assessments, and outputs actionable security scores and reports to identify weaknesses before attackers do.
What types of AI models and providers does ModelRed support?
ModelRed is provider-agnostic, integrating with OpenAI, Anthropic, Google, AWS, Azure, and custom REST API endpoints for proprietary models.
What is the typical onboarding process for ModelRed?
Expect a brief discovery call (15–20 minutes), a tailored demo, and a custom pilot; fast response times and no credit card required to start.
Are there free and paid plans available?
Yes. ModelRed offers free and paid tiers with defined usage limits and features; paid offerings may change with notice—see the website for details.
How does ModelRed handle account security and user data?
Users manage their credentials; ModelRed encrypts API keys and requires users to rotate third-party keys. Users own their content; ModelRed holds a limited license to improve services.
What happens if my account is inactive or if I violate the terms?
ModelRed may suspend or terminate accounts for violations, legal or security risks, fraud, abuse, or prolonged inactivity; access ceases upon termination.
Can ModelRed test proprietary or custom AI deployments?
Yes. It supports custom REST endpoints, enabling testing of proprietary and highly customized AI models.
Is the ModelRed platform always available?
ModelRed aims for high availability but does not guarantee uninterrupted or error-free service due to maintenance or updates.
How can I contact ModelRed for support or sales?
Email contact@modelred.ai or use the contact forms and sales inquiry options on the website.