Our AI Agent Now Has a Security Conscience: Introducing the JFrog Plugin for Claude Code

JFrog AI Catalog evolves into an AI control plane for the Agentic Development Lifecycle: models, skills, plugins, and MCP servers become native artifacts, so agents consume only approved AI assets.

Generative AI and Large Language Models (LLMs) are the new revolution of Artificial Intelligence, bringing the world capabilities that we could only dream about less than two years ago. Unlike previous milestones, such as Deep Learning, in the current AI revolution, everything is happening faster than ever before. Many feel that the train is about…

With the rapid adoption of AI-enabled services into production applications, it’s important that organizations are able to secure the AI/ML components coming into their software supply chain. The good news is that even if you don’t have a tool specifically for scanning models themselves, you can still apply the same DevSecOps best practices to securing…

Welcome to our hands-on guide where we dive into the world of Large Language Models (LLMs) and their synergy with Vector Databases. LLMs have been a game-changer in the tech world, driving innovation in application development. However, their full potential is often untapped when used in isolation. This is where Vector Databases step in, enhancing…

Wiz MCP agent integrations now let partner AI agents pull live Wiz context—Issues, findings, attack paths—on demand from customer tenants, with the WIN partners endpoint GA for building integrations.

How Metabase built ten domain-expert subagents — markdown files of roughly 2,000-3,000 tokens each — to stop Claude Code paying a context tax across its 500K-line Clojure backend.