"Additionally, JFrog revealed it has developed a set of artificial intelligence (AI) agents to automate software vulnerability remediation by leveraging analytics to apply policies as application developers write code and launched a JFrog AppTrust platform that provides a single source of truth for governance, risk management and compliance (GRC) teams. JFrog also launched an Evidence Ecosystem made up of JFrog AppTrust partners that includes GitHub, ServiceNow, SonarQube, Akuity, Akto, Coguard, Dagger, Nightvision, Shipyard and Troj.ai."
"Finally, JFrog also announced it has revamped its catalog for artificial intelligence (AI) models based on a Secure Model Registry for applying governance policies and tracking costs across multiple models, including now NVIDIA Nemotron models, running in the cloud or any on-premises IT environment that can be deployed with a single click. In addition to being able to search and explore models based on tags, projects, and use cases using detailed model cards and metadata, it also makes use of JFrog Xray code analysis tools to discover vulnerabilities."
JFrog introduced JFry, a DevOps platform to enable application developers to integrate AI agents into workflows at scale. JFry uses the Model Context Protocol (MCP) to integrate with AI repos and platforms such as Cursor, GitHub Copilot and Claude Code. The platform lets DevOps teams centrally store, share and serve software components with semantic metadata and integrates with package managers and GitHub. JFrog built AI agents to automate vulnerability remediation by applying analytics-driven policies as developers write code. JFrog launched AppTrust as a single source of truth for governance, risk management and compliance and an Evidence Ecosystem of partners. A revamped model catalog and Secure Model Registry govern models and track costs across cloud and on-premises deployments.
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