Embedding security within the Software Development Life Cycle (SDLC) is no longer just a best practice; it’s a full-on necessity. DevSecOps extends the DevOps model by making security a shared responsibility from the earliest stages of development. Today’s enterprises require this kind of integrated approach to streamline workflows from development to deployment. The JFrog Platform …
Update 25/06/2025: After the publication of our blog, JFrog was contacted by a security team and was informed that the PyPI package was published as part of an internal security audit – “The PyPI package was not created with malicious intent and users were not targeted by unknown threat actors, the purpose of this simulation …
Every day development teams around the world release new software. But what happens to prior releases that are no longer in production? Most organizations save them, typically due to internal policies, external regulations, or simply the fear of losing data. Organizations typically take varied approaches to retaining their prior releases. Some use a dedicated repository …
swampUP 2024, the annual JFrog DevOps Conference, was unique in it’s addressing not only more familiar DevOps and DevSecOps issues, but adding specific operational challenges, stemming from the explosive growth of GenAI and the resulting need for specialized capabilities for handling AI models and datasets, while supporting new personae such as AI/ML engineers, data scientists …
At swampUP 2024 in Austin just a few days ago, we explored the EveryOps Matters approach with the crowd of developers, driven by a consolidated view from their companies’ boardrooms and 2024 CIO surveys. The message was clear: “EveryOps” isn’t just a strategy or tech trend — it’s a fundamental, ongoing mindset shift that must …
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 …
Today’s Hurdles to Efficient Software Development Picture this: You’ve just settled in at home after a long day, ready to relax, when suddenly your phone buzzes. It’s a notification about a failed build in your latest project. Your heart sinks. Your mind starts racing to connect the dots… What went wrong? Where is it broken? …
According to Gartner, almost two-thirds of U.S. businesses were directly impacted by a software supply chain attack. So it’s not a question of whether to secure your software supply chain, but rather what is the most effective and efficient way to provide end-to-end security during all phases of the software development lifecycle (SDLC). The …
Developers simply want to write code without interruption, while operations wish to build as fast as possible and deploy without restrictions. On the other hand, security professionals want to protect every step of the software supply chain from any potential security threats and vulnerabilities. In software development, every piece of code can potentially introduce vulnerabilities …
Just a few years back, developing AI/ML (Machine Learning) models was a secluded endeavor, primarily undertaken by small teams of developers and data scientists away from public scrutiny. However, with the surge in GenAI/LLMs, open-source models, and ML development tools, there’s been a significant democratization of model creation, with more developers and organizations engaging in …
