ModelRed
Last updated: November 7, 2025
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What is ModelRed?
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ModelRed's Top 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
Flexible free and paid subscription tiers with usage limits
Frequently asked questions about ModelRed
ModelRed's pricing
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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.