Nemotron 3.5 Content Safety: Customizable Multimodal Safety for Global Enterprise AI

NVIDIA's Nemotron 3.5 Content Safety represents an advanced evolution in multimodal and multilingual AI safety models, integrating customizable enterprise policy enforcement and auditable reasoning into a single inference model. Released in June 2026, the model builds on its predecessor by enhancing multimodal integration, allowing simultaneous evaluation of user prompts, images, and responses to identify policy violations that arise from the interplay of different content types. It maintains explicit training coverage across 12 languages while supporting zero-shot generalization to approximately 140 languages, facilitating deployment in regions with limited training data. A significant innovation of Nemotron 3.5 is its custom policy enforcement, enabling domain-specific safety policies across varied applications, from healthcare to education, with a reasoning trace function that provides step-by-step logic for audit and compliance purposes. Despite the potential latency introduced by detailed reasoning processes, the model offers a low-latency binary verdict option and remains efficient, reducing costs and maintaining high accuracy across multilingual and multimodal benchmarks. The release includes a safety dataset, addressing gaps in existing evaluation infrastructure by incorporating real images and culturally nuanced multilingual prompts, and is available under the NVIDIA Open Model License, with support for various inference platforms and tools for custom policy generation.

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