Model Context Protocol (MCP)

Sandboxing a coding agent isolates it from the host—but the real blast radius is the credentials it holds. GitHub tokens, cloud keys, MCP connections, and CI/CD access define what an agent can actually do. Here's the runtime permission model that closes the gap.

Atlassian Rovo's MCP server makes a precise security tradeoff visible: OAuth 2.1 handles identity and consent; API tokens handle non-interactive automation. Neither governs what agents can actually do at tool-call time. Here is what that gap looks like in practice.

Coding agents are operational actors, not just assistants. This guide presents a practical trust-level taxonomy for agent commands and MCP tools, explains why human approval prompts degrade at scale, and shows how runtime authorization policy enforces trust levels without relying on click fatigue.

Treating AI agents like service accounts is a useful starting point — but it fails at runtime. Here's why scoped tokens are necessary but not sufficient, and how runtime authorization fills the gap.

The Claude Code MCP OAuth token theft chain is an authorization failure, not just a credential leak. OAuth got the agent connected, but it never constrained which tool calls remained valid after the routing layer was tampered with — and that is the gap runtime policy enforcement must close.

The IETF SD Agent draft and Microsoft Entra Agent ID are turning agent identity into real infrastructure. But a verified Agent Card or sponsored enterprise identity still doesn't answer whether an agent may call a specific MCP tool right now — that requires runtime authorization.

Microsoft Entra Agent ID and SD-JWT agent identity solve registration, governance, and authentication — but they don't decide whether a specific MCP tool call is permissible right now. This article explains the gap and the runtime authorization architecture needed to close it.

In April 2026, the NSA published 'Careful Adoption of Agentic AI Services' — the first intelligence-community advisory specifically targeting AI agent authorization failures. Here is what it actually demands and why most engineering teams are not close to meeting it.

If you already run OPA, AI agents don't require a new policy engine — they require a richer input schema, ephemeral identity, and enforcement at every layer. Learn how to evolve your OPA setup for delegated, multi-hop agentic authorization with Zero Standing Permissions, production-grade Rego, and OPAL-backed real-time enforcement.

Zero Standing Privileges (ZSP) means no identity holds usable access between tasks. This article explains how ZSP differs from least privilege, how to implement it with ephemeral credentials and runtime policy enforcement, and why AI agents running on MCP make standing access a new category of operational risk.

OAuth 2.1 is the right foundation for MCP security, but most implementations stop one layer too early. This guide covers every spec-required piece: protected resource metadata, authorization server discovery, PKCE, dynamic client registration, resource indicators, and where fine-grained authorization picks up where OAuth ends.

AI agents acting on behalf of users need more than authentication — they need governance. This article covers the Permit.io agentic identity model, policy-as-code lifecycle, MCP Gateway enforcement, zero standing credentials, Guardian Agents, and what an audit trail must contain to be meaningful.

Coding agents execute code, run commands, and call APIs — not just generate text. This guide covers the real security risks, why authorization must happen at the tool-call level, and how Permit.io and the Permit MCP Gateway enforce least-privilege access for agentic workflows.

AI agents break the traditional least-privilege model. This article explains why, defines agentic identity (delegating human + workflow context + declared intent), and shows how Permit.io enforces zero standing privileges through gateway-vaulted credentials, the PDP, MCP Gateway, and downscoped delegation chains.

MCP auth is necessary, but it is not the same thing as agent authorization. If you want secure agent systems, you need identity, delegation, policy, and runtime enforcement beyond OAuth.

If you are comparing an MCP gateway to a basic MCP proxy, the real difference is not routing. It is identity, authorization, consent, auditability, and runtime control for agent actions.

A practical review guide for security, privacy, and procurement teams evaluating whether an MCP gateway can meet SOC 2, HIPAA, and privacy requirements — with concrete examples from Permit MCP Gateway.

A practical blueprint for securing Model Context Protocol (MCP) agents across identity, consent, policy, and audit layers without rewrites.

Announcing Permit MCP Gateway, a new trust and enforcement layer for MCP that brings identity, consent, fine-grained authorization, auditability, and runtime control to AI agent actions.

Secure MCP authorization with OAuth 2.1, zero standing permissions, and fine-grained access control for AI agents using Permit.io and agent.security.

Struggling with MCP Auth? This guide cracks identity, consent, and agent security! Master the five layers of MCP auth & tackle context complexity for production-ready AI.