Impart Resources

The AI security market is moving fast to respond to predictions that over 40% of enterprise applications will have embedded AI agents by the end of 2026. Every vendor is packaging their answer under the label "AI agent security." The problem is that "AI agent security" means something different depending on who's selling it. This post defines what each layer does, where each one runs out of road, and why the architecture needs both.

LLM security and LLM protection get used as synonyms across vendor briefings and CISO conversations. They describe fundamentally different capabilities. This post breaks down what each layer actually covers, where each earns its place in a production LLM defense architecture, and where each leaves teams exposed when an attack executes.

Model Context Protocol servers don't register themselves, and that gap creates real risk. Before security teams can write rules, enforce authorization policy, or establish behavioral baselines, they need to know what's running. This post breaks down how to build the inventory, manifest, and ownership model that makes enforcement possible.

MCP security and MCP protection are used almost interchangeably, but they describe fundamentally different approaches. One vendor means access control and authentication. Another means runtime threat detection. Both call it MCP security. This post breaks down the differences, where the real value is, and where the gaps are that neither fully closes on its own.

OWASP OAT-021 Denial of Inventory bots hold carts, seats, and reservations without ever buying. WAFs can't see the pattern. Here's why, and what closes the enforcement gap.

Card cracking bots enumerate CVV codes through your payment flow, and your WAF can't see the processor response that makes the pattern legible. Here's what changes when enforcement moves inside the request path.