Operations | Monitoring | ITSM | DevOps | Cloud

Data migrations have long been a significant source of anxiety for businesses and IT teams alike. The thought of moving critical databases often conjures images of prolonged downtime, service interruptions, and the ever-present risk of data loss. Indeed, statistics show that “90% of businesses experience unexpected downtime during database migrations, leading to significant revenue loss and customer dissatisfaction”.

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 is rooted in your software pipeline.

Data-driven decisions are critical. And to support high-stakes decision-making – from fraud detection in credit card transactions to demand forecasting in retail – organizations are increasingly relying on complex models. According to McKinsey, 78% of organizations report using AI in at least one business function, highlighting just how embedded AI and ML models have become in operational and strategic decision-making.

From optimizing supply chains to personalizing customer experiences, artificial intelligence and machine learning models are no longer statistics-based revenue initiatives; they’re foundational to modern business strategy. Organizations are pouring resources into developing and deploying AI, driven by the promise of unprecedented efficiency, insight, and competitive advantage. Yet, beneath this surging wave of innovation lies a growing tension: the Innovation vs. Control Syndrome.

We are delighted to share the exciting news that JFrog has earned the “Deployed on AWS” badge in AWS Marketplace, marking yet another milestone in our journey of innovation and collaboration with Amazon Web Services (AWS). This achievement underscores our commitment to providing cutting-edge solutions that leverage AWS’s robust infrastructure to enhance the user experience and drive efficiency.

Attestations, or as we like to call them, evidence, are a critical piece to proving software supply chain integrity and security. However, without the right tools and processes, reviewing and verifying attestations can be time-consuming. At JFrog, we’re deeply committed to empowering developers, DevOps, and Security teams to make these complex workstreams as simple as possible.

Good news! You no longer have to be a DevOps or JFrog expert to harness the power of the JFrog Software Supply Chain Platform. With the introduction of JFrog’s MCP Server, we’re making the JFrog Platform accessible to your favorite large language models (LLMs). Now, every developer can take advantage of the detailed security and package information available in JFrog, such as vulnerability data from the JFrog Catalog, without needing to context-switch.

If there’s one thing we’ve learned from years of working with innovators across industries, it’s this: Progress happens when people come together—not just to showcase, but to share, ask questions, challenge one another, push both themselves and the industry to the next level, and co-create.

The JFrog Security Research team has recently discovered and disclosed CVE-2025-6514 – a critical (CVSS 9.6) security vulnerability in the mcp-remote project – a popular tool used by Model Context Protocol clients. The vulnerability allows attackers to trigger arbitrary OS command execution on the machine running mcp-remote when it initiates a connection to an untrusted MCP server, posing a significant risk to users – a full system compromise.

Swift is the default and preferred language for developing applications within the Apple ecosystem. The Swift Package Manager (SwiftPM) has become the de-facto dependency manager for Swift, enabling developers to share and reuse code effortlessly. While its elegance lies in its simplicity, there’s a common concern about integrating SwiftPM into robust, enterprise-grade development workflows. This is where JFrog Artifactory shines.