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Frontier Model Safety

Frontier model safety refers to safety practices and governance approaches for cutting-edge AI systems, particularly large language models and multimodal systems that push the boundaries of AI capabilities. This focus area is critical for enterprise governance because frontier models pose novel risks including unpredictable emergent behaviors, potential for large-scale impact, and challenges in interpretability that existing safety frameworks may not adequately address. Organizations deploying or building frontier models must establish rigorous testing protocols, red-teaming practices, and monitoring systems to identify and mitigate risks before these systems are integrated into business-critical workflows.

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