AI agents are moving fast. According to our State of Agentic AI report, 60% of organizations already have AI agents in production, yet 40% cite security and compliance as the number-one barrier to scaling them further. And that gap between adoption and oversight is exactly where AI governance lives. As AI takes on …

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When security teams scan their container environments for the first time, they often discover hundreds of known vulnerabilities, and almost none of them trace back to application code. The overwhelming majority come from packages that shipped with the base image: shells, compilers, debug utilities, and libraries the …

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In our State of Agentic AI report, 45% of organizations said they struggle to ensure the tools their agents use are secure and enterprise-ready. That number reflects a broader reality: AI agents are moving into production faster than the security practices around them are maturing. The challenge is not that …

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If you're already familiar with sandboxing as an isolation technique, sandbox security is the next layer: the policies, controls, and enforcement mechanisms that make sure those isolation boundaries actually hold under real-world pressure. According to our State of Agentic AI report, 40% of respondents cite security as …

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This is Part 2 of our AI Coding Agent Horror Stories series, an in-depth look at real-world security incidents exposing the vulnerabilities in AI coding agents, and how Docker Sandboxes deliver workspace-scoped isolation that contains the worst failures at the execution layer. In part 1 of this series, we mapped six …

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