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Accelerating Enterprise AI Development: A Guide to the JFrog-NVIDIA NIM Integration

Enterprises are racing to integrate AI into applications, yet transitioning from prototype to production remains challenging. Managing ML models efficiently while ensuring security and governance is a critical challenge. JFrogโ€™s integration with NVIDIA NIM addresses these issues by applying enterprise-grade DevSecOps practices to AI development. Before exploring this solution further, letโ€™s examine the core MLOps โ€ฆ

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JFrog and Hugging Face Join Forces to Expose Malicious ML Models

ML operations, data scientists, and developers currently face critical security challenges on multiple fronts. First, staying up to date with evolving attack techniques requires constant vigilance and security know-how, which can only be achieved by a dedicated security team. Second, existing ML model scanning engines suffer from a staggering rate of false positives. When a โ€ฆ