Unlike keyword filters, Mijann applies formal semantic transformations that preserve intent while enforcing strict trust boundaries. Its token footprint is exceptionally low — typically under 3 % overhead across leading LLMs (GPT-5, Claude 4.5, Gemini 2.5, Mistral Large). This means maximum downstream security with minimal additional cost, enabling full-scale deployment without latency or throughput trade-offs.y
Developed by experts in AI security and trust systems
Works seamlessly across different language model platforms
Transparent security measures you can verify and trust
Ready for enterprise deployment at scale
Mijann is open source and available now on GitHub. Join the community building the future of AI security.
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Mijann protects conversational agents from prompt injections, data leaks, and capability abuse by enforcing provable trust boundaries through semantic rules.