Redcells is an automated adversarial testing platform for the LLMs you own or control, running structured red-team jobs with iterative attack→refine layers and per-layer scoring.
Security engineers, ML researchers, AI platform teams, and compliance teams shipping LLMs who need repeatable adversarial validation.
Features & Use Cases
- Iterative attack→refine pipeline
- Prompt injection, jailbreak, data leakage probes
- OpenAI-compatible target and judge APIs
- Web dashboard with per-layer results
- Encrypted target credentials
- CI/CD integration
- Security engineers, ML researchers, AI platform teams, and compliance teams shipping LLMs who need repeatable adversarial validation.
Pros & Cons
- Turns manual red-teaming into repeatable API calls
- Works with any OpenAI-compatible model
- Encrypted target credentials
- Structured per-layer results
- Requires a target model API endpoint
- Public beta still maturing
Full Review
Redcells is a practical ai research option for teams that need to move from idea to execution without a long setup process.
The platform stands out for Security engineers, ML researchers, AI platform teams, and compliance teams shipping LLMs who need repeatable adversarial validation., and it is often most useful for operators who want a faster path to deployment than a larger, more customizable stack.
It is usually strongest when the need is clear and the team values speed over deep customization.
- Security engineers, ML researchers, AI platform teams, and compliance teams shipping LLMs who need repeatable adversarial validation.
- Teams evaluating ai research tools
- Organizations that need extensive white-glove onboarding
- Teams that want deep custom automation beyond the core feature set
Pricing: Freemium
Ready to try Redcells?
Visit the official site to explore plans, demos & free options.
