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Five Reasons Standalone Vulnerability Scanning Isn’t Enough in 2025
Vulnerability scanning alone doesn’t cut it anymore. While it’s long been a core security practice, scanning tools can’t tell you which vulnerabilities are exploitable, how attackers would target them, or which ones pose real risk. This article explores the limitations of vulnerability scanning, the shortfalls of traditional vulnerability management, and why organizations must adopt a risk-based, context-driven approach to application security. Learn how to prioritize based on exploitability, integrate security across the SDLC, and move toward continuous, intelligent threat detection.
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Who's in Charge, The Shared Responsibility Model for API and AI/ML Model Versionin
As AI adoption accelerates, managing APIs and ML models at scale is no longer just a technical concern—it's a strategic imperative. This article explores the "Shared Responsibility Model," a forward-thinking approach that bridges MLOps and APIOps using Kubernetes-native tools. Discover how modern organizations are scaling AI safely, maintaining API stability, and accelerating innovation by aligning API management platforms with ML serving systems.
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CloudBolt x StormForge: Why Automated FinOps Beats Human Effort
CloudBolt CTO Kyle Campos discusses ending FinOps dashboard overload with action-driven orchestration and how StormForge enhances Kubernetes optimization through real-time automation and smarter remediation.
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Beyond Traditional AppSec: Navigating the New Frontier of AI Security with Mend AI
Bar-El Tayouri of Mend AI shares why securing AI-driven apps demands new strategie and how to build an effective, future-ready AppSec program.
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Achieving Sovereign AI with the JFrog Platform and NVIDIA Enterprise AI Factory
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.
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Runtime is the real defense, not just posture
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.
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Top 15 Kubectl plugins for security engineers in 2025
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.
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How JFrog Delivers Self-Service Cloud Environments for our Developers
Increasing operational efficiency, automation, and scalability are critical for success In today’s cloud-native development environments
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Practical AI security in multi-cloud environments
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.
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Scaling Docker Usage with JFrog
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.
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Top 5 features to look for in a cloud detection and response solution
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.
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Introducing Support for Chocolatey and PowerShell Packages
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