Business Description

Overview JFrog’s goal is to provide a system of record for the software supply chain in the Artificial Intelligence (“AI”) era. As a foundational platform that provides governance, security and trust to enterprise software organizations, JFrog’s unified platform (“JFrog Platform”) allows companies to successfully unify development speed, volume, security, governance and delivery of software applications across hybrid teams of developers, security professionals, Artificial Intelligence/Machine Learning (“AI/ML”) engineers and AI agents. We envision a world where innovative, secure, compliant and trusted software is consumed, built and continuously delivered from any user to any destination; a reality we refer to as “Liquid Software.” The complimentary practices of DevOps, DevSecOps, DevGovOps, MLOps and AI development are converging within organizations, exposing new challenges in process, security, governance and compliance for software delivery. This unification continues to re-shape the composition of development teams, increase software volume, and expand enterprise digital footprints. As a pioneer in DevOps, DevSecOps, and DevGovOps, JFrog recognizes the unique potential of technology shifts and how they are best adopted within an organization. A rapidly evolving marketplace demands a new generation of tooling that encompasses the complete software supply chain; a platform that serves many functions in an organization affected by rapid technology adoption. We anticipate that our Platform will continue to grow in relevance and impact, as companies increasingly seek to manage workflows, apply processes, deliver application security and scale their infrastructure efficiently in an AI-first world. JFrog serves demanding enterprises in some of the world’s most complex technology environments, leading the majority of the Fortune 500 to trust JFrog as a system of record across their software development organizations. Software and the Business Environment Software’s role has changed from a functional tool to a cornerstone of nearly every company, dictating that the continuous development and release of software is now a mission-critical operation. Beyond providing competitive advantage for companies, the safety and security of data and operations is software-dependent and increasingly influenced by AI. To meet this need, updating a feature of a software application or AI model, rather than releasing a new version of the entire application, ensures that current solutions are brought to market faster, allowing organizations to be more responsive to their customers’ needs, security concerns and corporate welfare. The proliferation of open source software, AI and ML models and availability of newer and more efficient software development technologies such as Agentic AI and Generative AI, enable organizations to produce software at an increasing rate. However, with speed can come software supply chain complexity through disparate services, inadvertent adoption of malicious packages, introduced security vulnerabilities, unregulated containers, and unchecked deployment across hybrid and multi-cloud environments. Organizations’ existing approaches can create silos and bottlenecks around critical steps, such as planning, curating, building, testing, securing, and delivering intelligent software. The merging of new technologies with legacy approaches has placed significant strain on traditional software workflows, which are even further complicated by the introduction of these AI components. The DevOps, DevSecOps, DevGovOps, MLOps, and AI Development Workflows DevOps is a maturing discipline that integrates software development and operations, shortening, automating, and improving the software build and release workflow. DevOps is a combination of technologies, methodologies, and culture that powers a continuous, fast, and secure software release cycle. DevOps is increasingly influenced by AI, such as generative coding assistants and AI agents. The DevSecOps workflow spans the DevOps workflow, but with the addition of security capabilities, including the planning, curating, coding, building, securing, and testing of software components by developers, to the secure releasing, deploying, operating, and monitoring of that software by operators.…