Why AI Gateways, MCP Registries and Kubernetes Are Becoming The Agentic Foundation A year ago, “doing AI” in most organisations meant experimenting with ChatGPT in the browser or wiring a single LLM API into an internal tool. Today, the conversation is very different. We are talking about AI gateways , MCP registries , curated catalogs of agents and skills , and push-to-Kubernetes  deployment paths. In other words, we are not just playing with models any more. We are quietly

A simple Google ADK Penetration Testing Agent using Sequential Thinking and MCP. In the months leading up to it, nobody could quite pinpoint the moment things began to shift. Engineers are still patching bugs, academics are still publishing careful proofs and startups are still trying to duct-tape half-working prototypes into something that feels like magic. But then, almost quietly, an inflection arrives. It starts with small signs: agents chaining tasks without being told

Introduction As AI agents become more autonomous and connected, we face a new kind of security challenge, not from their creators, but from their growth . In my recent research and demos, I explored what I call the Capability Delta : the hidden gap between an agent’s declared  tool set and its effective  real-world power once reasoning, chaining, and environment access come into play. This post summarizes those findings, from the technical setup to the emergent behaviors we