JFrog Platform Innovation: Reloading Development Teams
summary
Enterprise platform announces concrete features: end-to-end dev-to-production visibility that restores runtime lineage and enables remediation so teams get recallable artifacts and close the IDC-identified runtime blind spot (7 out of 10 apps accrue security issues over five years). Security updates add curation, Xray scanning, infra-as-code checks and hundreds of enterprise adopters. Machine learning becomes first-class with JFrog ML (model registry, serving, vector store) and an Artifactory N repo proxying NVIDIA NGC (Llama 3 demo) for cached, air-gapped, GPU-optimized models; GitHub integration is GA and Co-pilot extension is beta.
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chapters (5)
- 0:00Overcoming operational silos
- 2:14Software supply chain security
- 9:35Machine learning integration
- 20:13Nvidia NIM collaboration
- 27:20GitHub and binary integration
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