Raksha is an AI security platform for red teaming LLMs, discovering model vulnerabilities, and running automated safety evaluations — all in one place.
Select a model, configure guardrails, and launch automated red team runs that generate adversarial prompts, apply mutations, and stream results in real time.
Choose from pre-built guardrail templates — jailbreaks, prompt injections, toxicity bypasses — and run them against any model endpoint.
Apply 50+ mutation strategies — role-play, base64 encoding, few-shot poisoning, and more — to probe model safety boundaries systematically.
Stream run events in real time. Export structured PDF/JSON reports with per-prompt pass/fail analysis and vulnerability summaries.
Automate recurring evaluations on a schedule. Get notified when a model regresses and track safety posture over time.
Connect local Ollama models, OpenRouter, HuggingFace, or any OpenAI-compatible endpoint — all from a single interface.
Build and run dataset generation pipelines for adversarial prompts. Fine-tune attack coverage across security domains.
Watch every adversarial prompt, model response, and guardrail verdict stream live as the red team run executes.
Continuously discover new open-source models from HuggingFace and keep up with the latest AI security research papers — all curated in one place.
Sign in to access the full Raksha platform — AI Red Teamer, Model Research, and automated security pipelines.