Frameworks for Enterprise AI

Long-form decision guides for security teams, platform engineers and architects evaluating how to deploy LLMs, MCP servers and AI agents in regulated environments.

Each guide is a decision framework, not a feature pitch.

MCP architectures compared: Direct (agent connecting to many MCP servers, each with its own auth) vs Gateway-Brokered (agent through a single trust layer for identity, audit, policy, elicitation and origin isolation).

MCP architecture18 min read

MCP Server Access: Direct vs Gateway-Brokered

A decision framework for connecting AI agents to MCP servers. Three architectures, three deltas (identity, elicitation, origin isolation) and a flowchart that gets most teams to the right answer.

Two deployment topologies compared: Cloud Gateway (data crosses customer perimeter to operator cloud) vs Customer-Private Edge (data path stays inside the customer VPC; only telemetry leaves to the control plane).

Data sovereignty22 min read

Edge LLM Routing vs Cloud Gateway

Same trust layer, two deployment topologies. Cloud-managed vs customer-private edge: data path, egress shape, failure mode and the regulatory regimes that force the choice.