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…
Most organizations treating AI security as a model problem are defending the wrong layer. Security teams filter prompts, patch jailbreaks,…
Your legal team just handed you a 400-page document and said “figure out compliance.” The EU AI Act is live,…
Every secure API draws a line between code and data. HTTP separates headers from bodies. SQL has prepared statements. Even…
TL;DR AI risk doesn’t live in the model. It lives in the APIs behind it. Every AI interaction triggers a…
Dimitris Georgiou has been a self-professed computer geek since the early 80s. At university, he studied the convergence of educational…
Your board wants AI. Your developers are building with it. Your budget committee is asking for an ROI timeline. But…
AI systems are no longer just isolated models responding to human prompts. In modern production environments, they are increasingly chained…
Broken authorization is one of the most widely known API vulnerabilities. It features in the OWASP Top 10, AppSec conversations,…
The shadow technology problem is getting worse. Over the past few years, organizations have scaled microservices, cloud-native apps, and partner…
