Authorization infrastructure for the AI agent economy
Latest articles, guides, and updates about AI agent trust, security, and the Open Agent Passport specification
TL;DR "AI agent guardrails" is crowded in 2026, but the word means different things at different layers of the stack. Four layers worth distinguishing:...
TL;DR AI agent authorization is the runtime decision layer that answers a single question: "Is this specific agent allowed to execute this specific tool call,...
TL;DR APort is pre-action authorization infrastructure for AI agents. It enforces policy before a tool call executes — not after. The core spec is the Open...
TL;DR AI-generated code needs an audit trail that is more specific than "the PR passed." Open Agent Passport gives agents a stable identity, scoped...
TL;DR Prompt instructions are not authorization. Pull request review is necessary, but it is not enough for AI-agent work. APort adds signed report-only...
TL;DR AI coding agents can change the files that control CI, releases, dependencies, and policy. GitHub security for agents should focus on protected paths,...
TL;DR AI coding agents now touch repositories, workflows, secrets, pull requests, and releases. That requires authorization, not just prompts. APort uses...
TL;DR Cursor is powerful because it sits inside the developer workflow: repo context, file edits, terminal commands, and connected tools. That is exactly why...
TL;DR If you are searching for "secure Claude Code", the core issue is not the model. It is tool authority: shell commands, file access, web calls, and MCP...
In the first quarter of 2026, three of the largest names in AI safety announced three different initiatives. Anthropic launched Project Glasswing, a...
TL;DR CrewAI guardrails are most useful at the tool boundary, not in the prompt. Safe AI agents with CrewAI need runtime enforcement: a beforetoolcall decision...
TL;DR Safe AI agents with DeerFlow need more than sandboxing. They need pre-tool-call authorization at the action boundary. For production, the important...