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 months, and categories like payments, project management, and developer platforms are already beginning to reap the benefits. As a result,…
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 Cloud Point of Presence (POP), giving organizations a new way to secure APIs and AI systems while keeping their data…
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 take action on behalf of users. This isn’t a theoretical gap. According to Wallarm’s 2026 ThreatStats Report, 36% of AI…
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 building or integrating AI models cannot treat the Act as a regional regulation. This regulation is challenging because it delves…
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 premise is that a language model reads tool descriptions, tool responses, and user instructions through the same context window, with…
TL;DR AI risk doesn’t live in the model. It lives in the APIs behind it. Every AI interaction triggers a chain of API calls across your environment. Many of those APIs aren’t documented or tracked. That’s your real exposure. Shadow API discovery gives you visibility into those hidden endpoints, so you can find them before attackers do. If you don’t know which APIs your AI relies on, you can’t secure the system. AI Is Quietly…