Unlock Sovereign AI! Discover how the powerful collaboration between JFrog and NVIDIA delivers secure, scalable, and compliant AI. Learn how they enable enterprises to build, manage, and deploy AI models from development to edge, ensuring full control over data, models, and infrastructure.

Increasing operational efficiency, automation, and scalability are critical for success In today’s cloud-native development environments

Traditional cloud security tools focus on static scans and misconfiguration checks, but they can’t keep up with today’s fast-moving threats. This article explores why runtime security — real-time monitoring and automated response — is essential for protecting dynamic cloud-native environments. Learn how shifting to a runtime-first strategy enables faster detection, proactive defense, and true resilience in the cloud.

Kubernetes security is evolving fast—and so should your tools. This roundup of the top kubectl plugins for 2025 spotlights essential extensions that help security teams audit RBAC, trace runtime activity, manage secrets securely, and respond to threats in real time. Whether you're managing complex clusters or chasing compliance, these plugins supercharge your command line with the visibility and control you need.

As organizations rapidly adopt generative and agentic AI tools across multi-cloud environments, securing those systems has never been more critical. This article explores the key challenges of AI security—such as visibility gaps, runtime threats, and compliance pressures—and outlines best practices for building a strong AI security posture. From continuous monitoring with Falco to managing AI-specific risks with frameworks like MITRE ATLAS and OWASP AI, learn how to protect your AI infrastructure against evolving threats and regulatory demands.

Worried about Docker Hub rate limits? Discover how JFrog’s universal artifact manager and container registry ensures uninterrupted Docker usage by proxy caching, enabling authentication, and providing unlimited public Docker Hub downloads via JFrog SaaS, helping you scale seamlessly.

Cloud detection and response (CDR) is essential for securing modern hybrid and multicloud environments, where traditional tools fall short. This article explores the key challenges facing security teams—like lack of runtime visibility, alert fatigue, and skill gaps—and outlines how purpose-built CDR solutions like Sysdig address them. From real-time visibility and automated threat correlation to AI-powered threat investigation, discover what to look for in a CDR platform that delivers speed, context, and control across your entire cloud infrastructure.

Unwrap more universality! JFrog Artifactory now officially supports Chocolatey and PowerShell packages within its NuGet repositories, giving Windows users unmatched flexibility for package management, streamlined automation, and solidifying JFrog as the ultimate universal solution

Explore the role of GitOps in configuration management and continuous delivery within Kubernetes. Learn about its pros, such as automated deployment and hands-off operation, and its cons, including risks of automated failures.

Kubernetes is powerful but notoriously complex—especially at scale. From rising cloud costs to configuration drift, delayed upgrades, and multi-location inconsistencies, enterprises face major infrastructure challenges. This article explores how Talos Linux and Omni tackle these issues head-on by simplifying Kubernetes management, enhancing security, reducing cloud dependency, and eliminating fragility with an immutable, API-first OS and centralized control interface.

Discover how Grip Security, a SaaS security vendor, achieved a staggering 99% noise reduction in SCA findings by replacing their old tool with Endor Labs. Learn how they built stronger customer trust, boosted developer efficiency, and gained accurate vulnerability insights without "dependency hell.

Cloud cost savings aren’t living up to the hype—and it's time to rethink the economics of cloud ownership. This article explores how enterprises are overspending due to cloud provider lock-in, dynamic pricing, and operational overhead, and why on-prem or hybrid infrastructure may offer better long-term value. Drawing from real-world experiences like Disney+ and startups like Zig, it urges FinOps leaders and engineers to assess when cloud is an asset—and when it's a liability.