The Agent Has Entered the Supply Chain

Software Delivery in the Age of Agents The way software gets built has fundamentally shifted. AI coding agents are no longer just autocomplete on steroids; they’re resolving packages, configuring environments, selecting tools, and in some cases running the entire development lifecycle, with or without a human in the loop. But here’s the problem: the tools …

Accelerating Secure Software Delivery in Southeast Asia: Why the “Surge of Binaries” Demands a Unified Strategy

For years, the conversation around digital transformation in Southeast Asia focused on “getting to the cloud.” Today, that conversation has shifted. Our region is no longer just adopting the cloud; we are leapfrogging traditional development cycles by integrating AI and cloud-native architectures at a staggering pace. However, this acceleration has created a byproduct that many …

JFrog Earns Microsoft Solutions Partner

JFrog Earns Microsoft Solutions Partner with Certified Software Designation for Azure

We’re excited to announce that JFrog has officially earned the Microsoft Solutions Partner with certified software designation for Azure. This status is granted to partners who complete a technical review audit for interoperability with Microsoft products and demonstrate a consistent track record of customer success. For our customers, this means the JFrog Software Supply Chain …

AWS Security Competency

JFrog Achieves AWS Security Competency

At JFrog, our mission has long been to power the future of software, and we believe that future is undeniably cloud-native. This is why we’ve architected our platform as a container-first, Kubernetes-native SaaS—built for performance at scale on the world’s leading cloud infrastructure. Our deep commitment to cloud excellence has reached a major milestone in …

JFrog & GitHub: Unifying the Software Supply Chain, One Step at a Time… and Our 2025 GitHub Technology Partner Award

Organizations increasingly demand platforms that not only accelerate software delivery but also provide trust, security, and traceability. At JFrog, the software supply chain is managed and secured by default, from commit to runtime. That’s why our deep integration with GitHub is central to how we help teams manage, monitor, and secure every step of software …

Two cubes, labeled "JFrog" and "ServiceNow," are connected by a glowing link on a grid-patterned dark background.

JFrog and ServiceNow: Accelerate Trusted Software Application Development

Today’s software organizations can’t make tradeoffs between speed and trust – you need both to succeed. But juggling them is tough. Moving too fast can lead to security vulnerabilities and compliance issues, while moving too slow means your competitors beat you to market. This tension creates friction that slows down every release, a problem that …

Cube levitates within a circular arrow loop containing GitHub and JFrog logos

JFrog and GitHub: Next-Level DevSecOps

Most DevSecOps pipelines have a gap: source code security and binary security are handled in separate silos. This creates blind spots, slows teams down, and increases risk. At swampUP 2025, we’re unveiling the next evolution of the JFrog and GitHub integration, a deeply integrated DevSecOps experience that unifies best-of-breed code and binary platforms. With JFrog …

High-Performance AI Unleashed

The AI revolution is transforming enterprises faster than you can say, “sudo apt-get install skynet.” According to McKinsey, 65% of organizations now regularly use generative AI, nearly doubling from last year. However, as developers rush to integrate AI into their products, the shift from AI proof-of-concept to production can feel like trying to assemble flat-box …

Qwak and JFrog integration

Advancing MLOps with JFrog and Qwak

Modern AI applications are having a dramatic impact on our industry, but there are still certain hurdles when it comes to bringing ML models to production. The process of building ML models is so complex and time-intensive that many data scientists still struggle to turn concepts into production-ready models. Bridging the gap between MLOps and …