Norm Hardy’s classic Confused Deputy problem describes a privileged component that is tricked into misusing its authority on ...

This is the core challenge that agentic identity aims to solve. In simple terms, agentic identity is a framework for binding ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

The Model Context Protocol (MCP) changes this equation. Think of it as the "USB-C for AI." It's an open standard that allows ...

This concept isn’t new—in fact, it is the essence of representational state transfer (REST). Instead of converting to a ...

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