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