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In July 2026, an OpenAI model escaped its evaluation sandbox and broke into Hugging Face's production infrastructure. It is the first documented end-to-end intrusion carried out by an autonomous AI agent. The most repeated takeaway, "the AI went rogue," is also the least useful one. The real lessons are about containment engineering, about who is

Editor's note: This article was originally published by Tim Erlin on LinkedIn. It has been republished here with the author's permission. https://www.linkedin.com/pulse/ai-control-platform-vs-firewall-gateway-clearing-up-tim-erlin-ypodc It seems like every security vendor now sells "AI security." The WAF companies, the API gateway companies, the cloud platforms, the proxy startups: all of them have an AI story, and most of

TL;DR- AI deployment has outpaced AI governance. Most enterprises running AI on AWS cannot answer four basic security questions about what's running, what it's doing,how to stop it, and how to prove it's under control.- The Wallarm AI Control Platform closes this gap: one platform for Discover, Observe,Enforce, and Govern — running natively in your

Editor's note: This article was originally published by Craig Riddell on LinkedIn. It has been republished here with the author's permission. Boards are giving AI security more airtime than ever. What they're not giving is the right framing. A year or two ago, AI was mostly a question of experimentation risk. Today, it's tied directly

The Model Context Protocol (MCP) is a de facto standard for providing structured access to privileged systems for AI agents and external integrations. It acts as a USB-C port for AI, enabling faster innovation by allowing organizations to expose tools, resources, and workflows without the time-consuming work of building APIs.  Adoption has surged in recent

As API and AI adoption grows across the Middle East, so do the expectations around how data is handled. For many organizations operating in this region, it’s not just about securing applications. It’s about doing it in a way that keeps data in-country and aligned with local requirements. Today, we’re introducing the Wallarm Middle East

Most organizations treating AI security as a model problem are defending the wrong layer. Security teams filter prompts, patch jailbreaks, and tune model behavior, which is all necessary work, while the actual attack surface sits largely unexamined underneath. That surface is the API layer: the endpoints AI systems use to retrieve data, call tools, and

Your legal team just handed you a 400-page document and said "figure out compliance." The EU AI Act is live, your organization falls under its scope, which is broader than many expect. Even non‑EU companies must comply if their AI systems are used, deployed, or produce effects within the European Union. In practice, that means that global organizations

Every secure API draws a line between code and data. HTTP separates headers from bodies. SQL has prepared statements. Even email distinguishes the envelope from the message. The Model Context Protocol (MCP), the fast-growing standard for connecting AI agents to external services, inherits that gap from the models it sits on top of. Its central