Lakera Guard's Fall '25 release introduces innovative features to enhance AI security by adapting to applications, minimizing noise, and maintaining low latency, ensuring global AI experiences remain safe, accurate, and swift. The update includes adaptive calibration, which adjusts flagging criteria based on specific application data to reduce false positives and irrelevant alerts, achieving unprecedented accuracy rates. Additionally, the multilingual moderation model provides comprehensive content protection across over 100 languages, significantly reducing errors and improving detection accuracy, particularly in low-resource languages. The consistent latency architecture allows real-time interaction by running detectors in parallel and prioritizing intelligently, offering sub-40ms response times for short prompts and under 200ms for longer ones. These advancements are part of Lakera's broader mission to protect AI systems against evolving threats, ensuring security solutions keep pace with modern demands.