AI Agent Governance: A 2026 Framework for Agent Identity and Access
Every AI agent that acts on company data needs an identity, scoped access and an owner. Here is a practical framework for agent identity and access management.
Jet Admin Blog
The latest updates, tutorials, guides, and resources to help you get the most out of Jet.
AI Agent Memory: What It Is and When Agents Need It
Agent memory lets an AI agent keep context within a task and across sessions. Here are the types, how they are stored and when an agent should look data up instead.
AI Agent Observability: Guardrails, Prompts and the Layers of the AI Stack
Agent observability shows what an AI agent actually did and why. Here is what to trace at each layer of the stack, which metrics matter and how guardrails fit in.
Human-in-the-Loop AI: How to Keep People in Control of AI Agents
Human-in-the-loop AI puts people at the points where an AI mistake would be costly. Here are the patterns, where to use them and how to keep review fast.
MCP Security: Governing AI Agents and MCP Servers in the Vibe Coding Era
MCP makes it easy to give AI agents real power over company systems. Here are the security risks and the controls that keep that power in check.
AI Agent Evaluation: How to Test and Observe Agents Across the AI Stack
Evaluating an AI agent means checking outcomes, tool use and safety, before release and in production. Here is a practical way to do it.
Workflow Orchestration: How to Coordinate Agents, Tools, Data and Approvals
Workflow orchestration coordinates many automated steps, systems, AI agents and people into one reliable process. Here is how it works and when you need it.
AI Agent Architecture: How Agent Decision-Making Drives Business Impact
AI agent architecture decides what an agent can see, what it can do and how it chooses. Here are the components, common patterns and the choices that matter for business use.
What Is an MCP Server? The Standard That Lets AI Agents Use Your Tools
An MCP server is a small program that exposes tools and data to AI assistants through the Model Context Protocol. Here is what that means and how to use one safely.
AI Workflows: How They Work and How to Build One
An AI workflow is a fixed sequence of steps where some steps use a language model. Here is how they work, when to use one instead of an agent and how to build one.