Key Points
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JFrog reported strong growth, including 29% overall revenue growth and 53% cloud-revenue growth, driven by higher cloud consumption, enterprise commitments and security demand.
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AI-driven software development is increasing the volume of code, binaries, models and other artifacts, positioning JFrog Artifactory as a repository for AI models, agent skills and MCP connections.
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Security adoption is accelerating: security products were included in 80% of the quarter’s $1 million customer wins and adopted by 40% of new customers, while management raised its net dollar retention floor to 120%.
JFrog (NASDAQ:FROG) said its latest quarterly results reflected continued growth in cloud usage, security adoption and enterprise spending, with management highlighting the company‘s role in handling the growing volume of software artifacts generated by artificial intelligence-driven development.
At the Canaccord Genuity Growth Conference, Chief Financial Officer Ed Grabscheid said JFrog delivered 29% top-line growth during the quarter, while cloud revenue rose 53%. He attributed the performance to security demand, customers exceeding minimum cloud commitments and expansions into higher annual commitments.
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“Security continues to be a significant growth driver for the company,” Grabscheid said, adding that the company also saw strong cloud-product usage across its portfolio. He said the company had expected the operational trends, though investors and analysts may have been more surprised by the strength of the results.
AI Development Drives More Artifacts
Management repeatedly pointed to the effect of AI coding tools and agents on software development volumes. Grabscheid said organizations are increasingly operating as “software factories” that move at the speed of machines, resulting in more code creation and, consequently, more binaries and other artifacts.
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JFrog views its Artifactory product as a system of record not only for software binaries but also for large language models, model context protocol, or MCP, connections and agent skills registries, according to Vice President of Investor Relations Jeff Schreiner.
Schreiner said customers have begun looking to host agent skills and MCP connections in Artifactory. He also noted that AI models can create different storage dynamics because earlier model versions may need to be retained rather than deleted.
