Your agents are only as trustworthy as what they consume, build, and ship. JFrog governs every AI model, agent skill, MCP server, AI-generated code, and assembled artifact in a single source of truth.
Secure your entire agentic software supply chain so you can ship trusted software at your new speed.
In 2026, software development speed is an AI-solved problem. Yet, as AI-generated code volumes surge, organizations face a new kind of risk visibility gap. Developers are increasingly copying third-party snippets into their codebases—from both AI prompts and open-source software components—creating large security and compliance blind spots that lead to significant risks. While proven software composition …
As the software development lifecycle continues to evolve, the rise of AI is introducing both unprecedented productivity and unprecedented risk. In a recent webinar hosted by JFrog, Jens Eckels sat down with Forrester Senior Analyst Janet Worthington to discuss the state of application security (AppSec), the explosive growth of agentic software development, and why consolidating …
Imagine your lead Software Engineer walks into your office and says, “Good news! I just deployed that critical update to production. I wrote the code on my personal laptop, didn’t run it through CI/CD, skipped the security scan, and just copied the files directly to the server with a USB drive.” You would fire them. …
Listen to a NotebookLM podcast version of the blog: When Anthropic announced Claude Code’s new security scanning capabilities, following the announcement of OpenAI’s Aardvark, it marked an important moment for the industry. For the first time, expert-level security review is becoming embedded directly into the act of writing code. Subtle, context-dependent vulnerabilities can now …
If you’ve been managing Red Hat-based systems as long as I have, yum install is likely hardcoded into your muscle memory. For decades, YUM (Yellowdog Updater, Modified) served as the backbone of RPM Linux-based distributions, getting us through countless server setups and late-night patches. But the era of YUM is officially over. With RHEL 9, …
In today’s AI rush, I’ve seen even the most disciplined organizations find it almost impossible to apply the hard-won lessons of DevOps and DevSecOps onto AI adoption. These organizations often feel forced to choose between moving fast and staying in control. As a result, they develop a “wait and see” approach to AI usage and …
We’re excited to share the findings of our commissioned Forrester Consulting Total Economic Impact™ (TEI) study, published in January 2026. This study examines the return on investment (ROI) that organizations realized by deploying a unified platform for managing and securing the software supply chain. Today, software supply chains are facing unprecedented pressure from surging open-source …
We are witnessing a fundamental transformation in how software is built. The industry has moved beyond the experimental phase of Machine Learning Operations and entered a complex new reality: the era of the AI Software Supply Chain. The adoption metrics confirm this shift is irreversible. Google reports that 90% of tech workers are now using …
The pressure to integrate AI is immense. Your developers need to move fast, and they’re finding ways to get the job done. But this rush for innovation often happens outside of established governance, creating a sprawling, invisible risk known as Shadow AI. To secure your organization, you must first understand what Shadow AI actually is. …
The systemic nature of software supply chain attacks is growing more complex, creating a critical tension between speed and security. The Israeli National Cyber Directorate’s (INCD) recent “Breaking the Chain” report validates that the most significant threats live outside your first-party code, highlighting a crisis of trust in the open-source-software (OSS) supply chain. While the …
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