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Enterprise AI Agent Controls

6 posts · Oct 2025 – Feb 2026

What this trail covers

Enterprise AI agent controls have been rolled out, offering organizations enhanced capabilities to observe, control, and extend Cursor's agent loop through custom scripts. These hooks can be integrated before or after defined stages of the agent loop, allowing for observation, blocking, or modification of agent behavior. This enables seamless integration with security tooling, observability platforms, secrets managers, and internal compliance systems via partnerships with ecosystem vendors. Sandbox Mode executes agent terminal commands in a restricted environment, blocking network access and limiting file access to the workspace and /tmp/ by default, with enterprise admin controls over sandbox availability and team-wide git and network access.

All Cursor trails
  1. Extend Cursor with pluginsThis post announces the launch of plugins for AI agents, enabling them to connect to external tools and services. It details how plugins bundle capabilities like MCP servers, skills, subagents, rules, and hooks to extend agent functionality. The post highlights integrations with partners such as Amplitude, AWS, Figma, Linear, and Stripe, showcasing their use cases across the product development lifecycle (planning, design, payments, infrastructure, data analytics). It also outlines the primitives for building custom plugins (skills, subagents, MCP servers, hooks, rules) and mentions the upcoming feature of private team marketplaces.
  2. NVIDIA commits 3x more code across 30,000 developers with CursorThis post details how NVIDIA has adopted and extended Cursor's AI agent capabilities across their entire software development lifecycle. Key technical contributions include: custom rules for automating git workflows (branch creation, commits, CI debugging, issue tracking), automation of bug fixes by pulling context from tickets and documentation using MCP servers, and dispatching agents to solve complex bugs. The post also highlights Cursor's performance on large codebases through semantic reasoning and relevant context retrieval, and its role in accelerating ramp times for new hires and enabling senior developers to bridge skill gaps.
  3. Hooks for security and platform teamsThis post details partnerships with ecosystem vendors (MintMCP, Oasis Security, Runlayer, Corridor, Semgrep, Endor Labs, Snyk, 1Password) that leverage Cursor's existing hooks system to integrate with security tooling, observability platforms, secrets managers, and internal compliance systems. These integrations focus on areas like MCP governance, code security, dependency scanning, agent safety, and secrets management, demonstrating how hooks facilitate enterprise-grade control and visibility over AI agent behavior.
  4. Introducing Cursor for EnterpriseThis post introduces Hooks for enterprise users, allowing them to observe, control, and extend the agent loop with custom scripts. It details how Hooks can add observability (logging actions, tool calls, prompts, completions), control the agent loop (enforcing compliance, blocking commands, scrubbing secrets), and extend Cursor with code (connecting external systems, injecting context, triggering automations). It also introduces Team Rules for shared context and best practices, upgraded analytics with faster data updates and more detailed insights, an Audit Log for visibility into key platform events, and Sandbox Mode for restricted execution of agent terminal commands. Enterprise Admins have control over sandbox availability and team-wide git and network access.