| Description | ModelRed was a developer-first platform that red-teamed LLMs, AI agents, and RAG pipelines, running automated probes for jailbreaks, prompt injection, data leaks, and unsafe behavior and returning a ModelRed security score before the company discontinued operations. | [f1] |
|---|---|---|
| Founded | 2025 | [f2] |
| Product | What it does |
|---|---|
| ModelRed | SaaS platform and Python SDK for LLM security assessments with versioned probe packs, detector-based verdicts, a 0-10 security score, and CI/CD gates across providers such as OpenAI and Bedrock. |
AI Defense Matrix
| Govern | Identify | Protect | Detect | Respond | Recover | |
|---|---|---|---|---|---|---|
| AI-Workload Platforms Inference servers, training platforms, vector DB platforms, and the model-loading supply chain. | ||||||
| AI Orchestration Tools Agentic orchestration tools, plus their plugins, skills, hooks, system prompts, scaffolding, harnesses, configuration settings, and MCP clients on user devices. | ||||||
| AI-Generated Code Code produced by AI tools, AI-assisted reviews, AI-generated infrastructure-as-code and tests, and vibe-coded apps that bypass CI/CD. | ||||||
| AI Gateways & Routers MCP proxies and gateways, LLM routers, outbound AI-service traffic, shadow AI egress, and model-registry traffic. | ||||||
| AI Model Model weights, fine-tuning checkpoints, model cards, registries, AIBOM, and the third-party LLMs your enterprise consumes. | ||||||
| Training Data Datasets used for training, fine-tuning, and continued learning. | ||||||
| Runtime AI Data User prompts, inference inputs, RAG content, vector DB content, persistent agent memory, and interaction history. | ||||||
| AI Agent Identities AI agents as non-human principals, plus credentials, keys, permission scopes, service accounts, and delegation chains across agents and tools. |
ModelRed red-teams LLMs, agents, and RAG pipelines, running automated probes for jailbreaks, prompt injection, and data leaks against the AI model under test. It is mapped to the AI Defense Matrix. [f3]
Analysis attempted 2026-06-25. The public record was too thin to score meaningfully (missing: independent footprint). Recheck due 2026-12-22.
ModelRed clears the identity and product-substance criteria cleanly. Its site is live under the ModelRed brand, and the product is documented through a public Python SDK on PyPI and detailed assessment and probe-pack pages. The independent footprint is what falls short. Only one substantive non-official source discusses ModelRed specifically, a November 2025 vendor-blog review, against a floor of two. No press, funding entry, analyst note, or independent benchmark surfaced in the reviewed record, and a 2026 comparison guide that ranks ten AI red-teaming peers omits it. The reviewed sources also disagree on who the founder is. A score would rest on the vendor's own claims rather than corroborated evidence, so the analysis is declined until the record thickens.
| Id | Source | Tier | Accessed |
|---|---|---|---|
| f1 | ModelRed homepage | official | 2026-06-25 |
| f2 | ModelRed SDK on PyPI: public release history begins in 2025 | research | 2026-06-25 |
| f3 | AI Defense Matrix Catalog mapping | other | 2026-06-25 |
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