Thank you, Jeff. Good afternoon, and thank you all for joining the call. As the JFrog platform becomes the system of record for all software packages, I'm pleased to report another excellent quarter for the company. We continue to execute with discipline, aiming to meet the growing market demand for a unified platform that enables trusted, scalable software delivery. In Q2, JFrog software revenue was $127.2 million, up 23% year-over-year. Our operating margin was 15.2% in the quarter, demonstrating consistent execution, while maintaining disciplined strategic investments. Cloud revenue for Q2 equaled $57.1 million, representing 45% year-over-year growth. We observed sustained cloud usage, while maintaining a strategic focus on converting customers with steady usage above minimum commitment into annual contracts. Our enterprise focus, product and go-to-market bore fruit again this quarter. I'm pleased to report that our greater than $1 million customers grew to 61 compared to 42 in the year ago period, equaling 45% growth year-over-year. Customers spending more than $100,000 annually grew to 1,076 compared to 928 in the year ago period, equaling 16% year-over-year growth. Our trailing 4 quarters net dollar retention increased sequentially, driven by continued adoption of our security product and solid growth across our customer base. Ed will discuss this in greater detail later in the call. Entering the second half of 2025, we are confident that our focus on DevOps, security and MLOps aligns with modern software demands. This quarter's success was fueled by continued cloud growth, rising demand for our unified security solutions and a clear value proposition in the rapidly evolving world of Agentic AI and MLOps. Now I will take a moment to spotlight what powered our Q2 success, highlighting the key drivers behind our strong performance. First, on cloud growth. I want to address 2 items for JFrog Cloud, both our core business results and then talk about emerging market dynamics. Q2 delivered strong cloud results fueled by expanded annual commitments, helping our customers gain budget clarity and SaaS spending visibility, while growing our recurring revenue base. Now with AI adoption exploding, CIOs are rethinking infrastructure at its core. The unpredictable cost of running AI at scale is forcing a shift from cloud first to fit for purpose. This might mean hybrid, balancing cost predictability with agility, compliance, security and control. JFrog has been hybrid from day 1, a unified software supply chain platform that runs in the cloud, on-prem or both. We are not reacting to this hybrid demand. We've been building for it, giving our customers true freedom of choice. This strategic shift by companies might extend sales cycles of customers that were in the process of migrating workloads to public clouds, but it reflects a deeper enterprise commitment across infrastructures and setups. As customers bet big on AI, they need a robust solution, but also cost predictability, and that's exactly where JFrog can help them build smarter for the future. We're heading into H2 confident and focused, aligned with customers' demand and build for what next, staying loyal to our disciplined derisked approach. Next, to AI and machine learning. Over the past few years, JFrog has not only invested in making our platform the system of record for MLOps and AI-driven software delivery, but also partnered with the world's largest companies and leading organizations in the AI ecosystem. Last quarter, we highlighted our partnership with Hugging Face to secure open source AI models, the launch of JFrog ML to enterprise customers as part of our unified platform and the growing adoption of JFrog by native AI companies using Artifactory as the centerpiece model registry in their software supply chain. In Q2, we were honored to be included in yet another mega initiative in the world of AI when NVIDIA's CEO, Jensen Huang, announced their new enterprise AI factory at the NVIDIA GTC Conference. As part of this emerging standard for enterprise AI development, JFrog was announced as the cornerstone software artifact repository and Secure Model Registry for NVIDIA's initiatives. Justin Boitano, NVIDIA's VP of Enterprise AI Products noted, "enterprises building AI factories need to manage the complexity of AI adoption, while ensuring performance, governance and trust. JFrog's unified software supply chain platform paired with the NVIDIA Enterprise AI factory validated design enables rapid responsible AI innovation at scale". We also continue to gain traction with leading AI industry customers as referenced in Q1 as they rapidly adopt the JFrog platform as an infrastructure solution, a system of record for binaries. Just as we previously became the registry and single source of truth for all software packages, containers and artifacts or in short, all type of binaries, we are on a mission to become the world's leading AI model registry, offering our customers comprehensive 360 coverage across the entire model life cycle. To achieve this, we are deepening partnerships with AI industry leaders, expanding our support for the AI ecosystem and driving community standards for responsible ML and AI adoption. As AI continues to transform the way we live and work, developer tool stacks are evolving rapidly, integrating code assistant tools to meet growing demands for speed and efficiency. But it's not just tools that are changing. The architecture of software products must now be designed around MCP servers that enable agentic interaction, giving AI technologies access to tools and the system that power modern application development. JFrog is all in as an open platform, building a solution that deeply integrates into the AI ecosystem. Our commitment was also marked by the launch of the JFrog MCP server in mid-July during the AWS Summit in New York. This is not all. As responsible members of the AI community and as a vendor committed to building trust across our customers' software supply chain, we recognize that as MCP adoption accelerates in the development world, so does interest from threat actors looking to exploit evolving MCP standards. Our security research team recently uncovered and published significant exploitation risks tied to MCP usage, and we're proud to lead the charge in securing the AI community from these emerging threats. Finally, I want to highlight our DevSecOps solutions. In Q2, we saw multiple customers wins continue to be driven by security with companies focused on the consolidation of tools, a model security and software package curation. For example, during the second quarter, one of the world's largest telecommunication companies expanded its use of JFrog through JFrog Curation in a 7-figure deal. As part of their standardization and consolidation efforts across their DevOps and DevSecOps tool sets, they placed a strategic investment in our solution to enforce policies and act as a firewall for their software supply chain. JFrog security solution are boldly transforming the industry, replacing legacy point solution tools with a unified software supply chain platform and blazing the trail with world-class research and cutting-edge innovations to deliver trusted AI. Some of these innovations will be announced at swampUP. I'm excited to remind you that JFrog will be holding our Annual User Conference on September 9th and 10th in Napa Valley, California. We'll be announcing new products and strategic partnerships, highlighting new innovations and delivering new solutions to the market. We look forward to welcoming our community to swampUP, where the world of every of op standards is crafted. With that, I'll turn the call over to our CFO, Ed Grabscheid, with an in-depth recap of Q2 financial results and our updated outlook for Q3 and the full fiscal year of 2025. Ed?