AI governance

Developers Sep 8, 2026 · 7 min read

Graph Engineering for Multi-Agent Systems: Govern Agent Work

Multi-agent systems become easier to trust when their graph is explicit: which agents can call models, use tools, request approval, spend tokens, and hand work to another node.

Read article

Developers Sep 8, 2026 · 6 min read

MCP Registry Governance: Control Tool Access Before Agents Use It

How to treat MCP registries as governed infrastructure for agent tools instead of just a convenient discovery layer.

Read article

Developers Sep 8, 2026 · 5 min read

AI Policy Enforcement: Turn AI Rules Into Runtime Controls

How runtime AI policy enforcement helps teams control model access, tool calls, regions, costs, logs, and approvals.

Read article

Developers Sep 8, 2026 · 7 min read

EU AI Endpoint: Keep AI Requests in the Right Region

A practical guide to evaluating EU AI endpoints, data residency, routing, logs, fallback behavior, and where ShareAI fits for production teams.

Read article

Developers Sep 1, 2026 · 6 min read

Shadow AI Detection: Turn Visibility Into Approved AI Access

Shadow AI detection should not stop at finding unapproved tools. Teams also need an approved path for model access, usage visibility, and routing.

Read article